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Nikiforidis</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Patras</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://sejong.academia.edu/FarmanAli"><img class="profile-avatar u-positionAbsolute" alt="Farman Ali" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/5263339/2911341/6373170/s200_farman.ali.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://sejong.academia.edu/FarmanAli">Farman Ali</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Sejong University</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div 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class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Nassim Douali</h3></div><div class="js-work-strip profile--work_container" data-work-id="13340590"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340590/Clinical_Decision_Support_System_based_on_Fuzzy_Cognitive_Maps"><img alt="Research paper thumbnail of Clinical Decision Support System based on Fuzzy Cognitive Maps" class="work-thumbnail" src="https://attachments.academia-assets.com/38018771/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340590/Clinical_Decision_Support_System_based_on_Fuzzy_Cognitive_Maps">Clinical Decision Support System based on Fuzzy Cognitive Maps</a></div><div class="wp-workCard_item"><span>Journal of Computer Science & Systems Biology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Citation: Douali N, Papageorgiou EI, Roo JD, Cools H, Jaulent MC (2015) Clinical Decision Support...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Citation: Douali N, Papageorgiou EI, Roo JD, Cools H, Jaulent MC (2015) Clinical Decision Support System based on Fuzzy Cognitive Maps. J Comput Sci Syst Biol 8: 112-120.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4664fb9a60746c462517e68697ff3e6c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38018771,"asset_id":13340590,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38018771/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340590"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340590"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340590; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340574"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340574/Personalized_decision_support_system_based_on_clinical_practice_guidelines"><img alt="Research paper thumbnail of Personalized decision support system based on clinical practice guidelines" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340574/Personalized_decision_support_system_based_on_clinical_practice_guidelines">Personalized decision support system based on clinical practice guidelines</a></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Personalized medicine is a broad and rapidly advancing field of health care that is informed by e...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Personalized medicine is a broad and rapidly advancing field of health care that is informed by each person&#39;s unique clinical, genetic, genomic, and environmental information. Health care that embraces personalized medicine is an integrated, coordinated, evidence based approach to individualizing patient care across the continuum. It is very important to make the right treatment decision but before that to obtain a good diagnosis. There are several clinical forms of disease whose symptoms vary depending on the age and etiology. In this study, we investigated and evaluated a model framework, for personalized diagnostic decisions, based on Case Based Fuzzy Cognitive Map (CBFCM, a cognitive process applying the main features of fuzzy logic and neural processors to situations involving imprecision and uncertain descriptions, in a similar way to intuitive human reasoning. We explored the use of this method for modelling clinical practice guidelines.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340574"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340574"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340574; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340574]").text(description); 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</script> <div class="js-work-strip profile--work_container" data-work-id="13340572"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340572/Monitoring_the_emergence_of_antibiotic_resistance_using_the_technology_ot_the_DebugIT_platform_in_the_HEGP_context"><img alt="Research paper thumbnail of Monitoring the emergence of antibiotic resistance using the technology ot the DebugIT platform in the HEGP context" class="work-thumbnail" src="https://attachments.academia-assets.com/45449072/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340572/Monitoring_the_emergence_of_antibiotic_resistance_using_the_technology_ot_the_DebugIT_platform_in_the_HEGP_context">Monitoring the emergence of antibiotic resistance using the technology ot the DebugIT platform in the HEGP context</a></div><div class="wp-workCard_item"><span>BMC Proceedings</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eced0becd079c8747349ff1a0862d8b6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449072,"asset_id":13340572,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449072/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340572"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340572"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340572; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340572]").text(description); $(".js-view-count[data-work-id=13340572]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340572; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340572']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340571"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework"><img alt="Research paper thumbnail of New Semantic Web rules and new medical reasoning framework" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework">New Semantic Web rules and new medical reasoning framework</a></div><div class="wp-workCard_item"><span>2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Semantic Web attracts much attention both for academic and industry research. It is not ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Semantic Web attracts much attention both for academic and industry research. It is not only considered as the next step evolution of world wide web but several Semantic Web applications are used in many areas like medicine. Ontologies and rules play a key role in knowledge representation and semantic data access. However, traditionnal logic becomes less suitable in a domain in which the concepts to be represented don&amp;#39;t have a precise definition and in which there is vagueness relationships beetwen concepts. In this paper we describe new semantic web rules based on Case Based Fuzzy Cognitive Maps (CBFCM) and notation3, we describe also a new reasoning framework.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340571"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340571"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340571; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340571]").text(description); $(".js-view-count[data-work-id=13340571]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340571; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340571']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340571]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340571,"title":"New Semantic Web rules and new medical reasoning framework","internal_url":"https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340570"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system"><img alt="Research paper thumbnail of Genomic and personalized medicine decision support system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system">Genomic and personalized medicine decision support system</a></div><div class="wp-workCard_item"><span>2012 IEEE International Conference on Complex Systems (ICCS)</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Despite the great interest of using genomics in clinical practice, many obstacles lie in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Despite the great interest of using genomics in clinical practice, many obstacles lie in the way of integrating genomic and personalized medicine into routine clinical care. Extended to genomic and personalized medicine, clinical decision support system (CDSS) could support the consistent and evidence-based application of genetic and genomic information in healthcare in many ways. In this paper we describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340570"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340570"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340570; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340570]").text(description); $(".js-view-count[data-work-id=13340570]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340570; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340570']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340570]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340570,"title":"Genomic and personalized medicine decision support system","internal_url":"https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340569"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340569/Clinical_Practice_Guidelines_Formalization_for_Personalized_Medicine"><img alt="Research paper thumbnail of Clinical Practice Guidelines Formalization for Personalized Medicine" class="work-thumbnail" src="https://attachments.academia-assets.com/45449074/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340569/Clinical_Practice_Guidelines_Formalization_for_Personalized_Medicine">Clinical Practice Guidelines Formalization for Personalized Medicine</a></div><div class="wp-workCard_item"><span>International Journal of Applied Evolutionary Computation</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Clinical guidelines are important means to improve quality of health care while limiting cost and...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Clinical guidelines are important means to improve quality of health care while limiting cost and supporting the medical staff. They are written as free text with tables and figures. Transforming them into a formal, computer-processable representation is a difficult task requiring both computer scientist skills and medical knowledge. In this paper the authors describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62e920e9cfe3f8dad1bb00d226ee9cb6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449074,"asset_id":13340569,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340569"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340569"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340569; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340569]").text(description); $(".js-view-count[data-work-id=13340569]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340569; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340569']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340568/Evidence_based_Practice"><img alt="Research paper thumbnail of Evidence-based Practice" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340568/Evidence_based_Practice">Evidence-based Practice</a></div><div class="wp-workCard_item"><span>Yearbook of medical informatics</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">OBJECTIVES: To provide an overview of outstanding current research conducted in Education and Con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">OBJECTIVES: To provide an overview of outstanding current research conducted in Education and Consumer Informatics. METHOD: Synopsis of the articles on education and consumer health informatics published in 2012 and selected for the IMIA Yearbook of Medical Informatics 2013. RESULTS: Architecture of monitoring or telehealth information systems for patients with chronic disease must include wireless devices to aid in the collection of personal data. Data acquisition technologies have an impact on patients&#39; willingness to participate in telehealth programmes. Patients are more likely to prefer mobile applications over web-based applications. Social media is widely used by clinicians. Especially younger clinicians use it for personal purposes and for reference materials retrieval. Questions remain on optimal training requirements and on the effects on clinician behavior and on patient outcomes. A high level of e-Health literacy by patients will promote increased adoption and utiliz...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340568; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340568]").text(description); $(".js-view-count[data-work-id=13340568]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340568; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340568']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340568,"title":"Evidence-based Practice","internal_url":"https://www.academia.edu/13340568/Evidence_based_Practice","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340567"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte"><img alt="Research paper thumbnail of Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte">Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Diagnosis decision making in medicine needs to take into account the patient’s clinical parameter...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Diagnosis decision making in medicine needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician to discuss and confirm a diagnosis. More and more decision support systems have to integrate different types of knowledge bases including the clinical practice guidelines. Fuzzy Cognitive Maps is a soft computing technique capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. FCM are limited to the representation of simple monotonic causal relations between concepts, however Rule Based Fuzzy Cognitive Maps start from a traditional fuzzy architecture with feedback in order to overcome FCM weaknesses. We used these two methods for modelling knowledge of Clinical Practice Guidelines and we used Semantic Web tools to implement them. We identified 25 clinical concepts and 13 diagnosis concepts. We defined 320 rules to implement FCM and 623 rules for RBFCM. 9...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340567"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340567"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340567; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340567]").text(description); $(".js-view-count[data-work-id=13340567]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340567; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340567']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340567]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340567,"title":"Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte","internal_url":"https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340566"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics"><img alt="Research paper thumbnail of Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics">Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics</a></div><div class="wp-workCard_item"><span>Yearbook of medical informatics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To provide an overview of outstanding current research conducted in Education and Consumer Inform...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To provide an overview of outstanding current research conducted in Education and Consumer Informatics. Synopsis of the articles on education and consumer health informatics published in 2012 and selected for the IMIA Yearbook of Medical Informatics 2013. Architecture of monitoring or telehealth information systems for patients with chronic disease must include wireless devices to aid in the collection of personal data. Data acquisition technologies have an impact on patients&#39; willingness to participate in telehealth programmes. Patients are more likely to prefer mobile applications over web-based applications. Social media is widely used by clinicians. Especially younger clinicians use it for personal purposes and for reference materials retrieval. Questions remain on optimal training requirements and on the effects on clinician behavior and on patient outcomes. A high level of e-Health literacy by patients will promote increased adoption and utilization of personal health reco...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340566"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340566"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340566; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340566]").text(description); $(".js-view-count[data-work-id=13340566]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340566; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340566']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340566]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340566,"title":"Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics","internal_url":"https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system"><img alt="Research paper thumbnail of Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system">Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://obs-vlfr.academia.edu/DrDoualiNassim">Nassim Douali</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KarineCl%C3%A9ment">Karine Clément</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Non-alcoholic fatty liver disease (NAFLD) is a hepatic disease associated with metabolic syndrome...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Non-alcoholic fatty liver disease (NAFLD) is a hepatic disease associated with metabolic syndrome. NAFLD covers a spectrum of liver disease from steatosis to non-alcoholic steatohepatitis (NASH) and cirrhosis. NASH is a disease evolving under the influence of various stimuli still poorly understood. In this paper we present new clinical decision support system (CDSS) for the diagnosis of NASH and the comparison of this system with machine learning algorithms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340565; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340565]").text(description); $(".js-view-count[data-work-id=13340565]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340565; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340565']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340565]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340565,"title":"Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system","internal_url":"https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340564"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web"><img alt="Research paper thumbnail of Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web">Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web</a></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Incorrect or improper diagnostic tests uses have important implications for health outcomes and c...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Incorrect or improper diagnostic tests uses have important implications for health outcomes and costs. Clinical Decision Support Systems purports to optimize the use of diagnostic tests in clinical practice. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician&#39;s previous experiences and new knowledge. Such medical knowledge is vague and defines uncertain relationships between facts and diagnosis, in this paper, Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps. They allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve diagnosis decision. We have developed a framework for interacting with patient&#39;s data and formalizing knowledge from Guidelines in the domain of Urinary Tract Infection. The conducted study allowed us to test cognitive approaches for implementing Guidelines with Semantic Web tools. The advantage of this approach is...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340564"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340564"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340564; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340564]").text(description); $(".js-view-count[data-work-id=13340564]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340564; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340564']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340564]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340564,"title":"Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web","internal_url":"https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340563"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte"><img alt="Research paper thumbnail of Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte">Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte</a></div><div class="wp-workCard_item"><span>Informatique et Santé</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Diagnosis decision making in medicine needs to take into account the patient’s clinical ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Diagnosis decision making in medicine needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician to discuss and confirm a diagnosis. More and more decision support systems have to integrate different types of knowledge bases including the clinical practice guidelines. Fuzzy Cognitive Maps is a soft computing technique capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. FCM are limited to the representation of simple monotonic causal relations between concepts, however Rule Based Fuzzy Cognitive Maps start from a traditional fuzzy architecture with feedback in order to overcome FCM weaknesses. We used these two methods for modelling knowledge of Clinical Practice Guidelines and we used Semantic Web tools to implement them. We identified 25 clinical concepts and 13 diagnosis concepts. We defined 320 rules to implement FCM and 623 rules for RBFCM. 92% of the diagnoses proposed by the FCM and 94% of the diagnoses proposed by the RBFCM were correct.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340563]").text(description); $(".js-view-count[data-work-id=13340563]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340563; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340563']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340563]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340563,"title":"Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte","internal_url":"https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13264132"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13264132/Improve_treatment_of_pneumonia_and_reduce_adverse_drug_events"><img alt="Research paper thumbnail of Improve treatment of pneumonia and reduce adverse drug events" class="work-thumbnail" src="https://attachments.academia-assets.com/45534136/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13264132/Improve_treatment_of_pneumonia_and_reduce_adverse_drug_events">Improve treatment of pneumonia and reduce adverse drug events</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DirkColaert">Dirk Colaert</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://obs-vlfr.academia.edu/DrDoualiNassim">Nassim Douali</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HongSun7">Hong Sun</a></span></div><div class="wp-workCard_item"><span>2013 IEEE Point-of-Care Healthcare Technologies (PHT)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead to hospitalization; these events occur more often in the elderly. ADE may result from medication errors at the medication process or from ADE. In this paper we present a new method to improve treatment of Community-acquired pneumonia. We use database of 86 patients to test and validate this approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e7877bdcd16f33e7cacb897403077642" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45534136,"asset_id":13264132,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45534136/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13264132"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13264132"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13264132; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13264132]").text(description); $(".js-view-count[data-work-id=13264132]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13264132; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13264132']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e7877bdcd16f33e7cacb897403077642" } } $('.js-work-strip[data-work-id=13264132]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13264132,"title":"Improve treatment of pneumonia and reduce adverse drug events","internal_url":"https://www.academia.edu/13264132/Improve_treatment_of_pneumonia_and_reduce_adverse_drug_events","owner_id":32521725,"coauthors_can_edit":true,"owner":{"id":32521725,"first_name":"Dirk","middle_initials":"","last_name":"Colaert","page_name":"DirkColaert","domain_name":"independent","created_at":"2015-06-25T00:26:25.177-07:00","display_name":"Dirk Colaert","url":"https://independent.academia.edu/DirkColaert"},"attachments":[{"id":45534136,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45534136/thumbnails/1.jpg","file_name":"Improve_treatment_of_pneumonia_and_reduc20160511-8854-shihzu.pdf","download_url":"https://www.academia.edu/attachments/45534136/download_file","bulk_download_file_name":"Improve_treatment_of_pneumonia_and_reduc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45534136/Improve_treatment_of_pneumonia_and_reduc20160511-8854-shihzu-libre.pdf?1462959797=\u0026response-content-disposition=attachment%3B+filename%3DImprove_treatment_of_pneumonia_and_reduc.pdf\u0026Expires=1739714317\u0026Signature=GU6witxmGUJ2-2GtO7owdEOgUTvNvwKU6yPpVypUFEkyw1w3dBmaJvIj~6pyu1CyyoslzgR-ABfUgeNJFouJt8j9zQc5VF57tYtQSQsQEMCst9PqcpN36Vwib2CVvbC-w36ZGUPNYK7~Kw7YO9gEA7MBkMv-IEWk3mBW4Xx1PEMbSD0~RjC16vOVaZBKfq-LZSrlteQ~V-TVmI4yeRgdDOGhhq-UsgA6~wpR~uA6MaTql8V8mwz1WQ5kBQtqZRa6ZjeQmYXSAPZwzLt4HLDoAtdoOmeaAyZ8KMFQsIDZfi1CC545xlveZZnrnQaEK926bNzhThfMcKsmFUXr1PZJrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340562"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM"><img alt="Research paper thumbnail of Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM" class="work-thumbnail" src="https://attachments.academia-assets.com/45449077/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM">Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM</a></div><div class="wp-workCard_item"><span>2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Doctor usually uses his experience from the clinical practice to confirm a diagnosis and to presc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Doctor usually uses his experience from the clinical practice to confirm a diagnosis and to prescribe an appropriate treatment for a specific patient. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician's previous experiences and new knowledge. Such knowledge and experience are vague and define uncertain relationships between facts and diagnosis. Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps (FCM) that allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve FCM decision support systems. Semantic web is used to implement both FCM approaches. A database of 71 patients with urinary tract infections was used to perform the proposed approach. A comparative study between FCM (92%) and CBFCM (99%) was conducted and the results derived by CBFCM approach showed CBFCM to be superior to FCM.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3adaa93832368b7935968605b2034274" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449077,"asset_id":13340562,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449077/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340562"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340562"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340562; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340562]").text(description); $(".js-view-count[data-work-id=13340562]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340562; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340562']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3adaa93832368b7935968605b2034274" } } $('.js-work-strip[data-work-id=13340562]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340562,"title":"Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM","internal_url":"https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[{"id":45449077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45449077/thumbnails/1.jpg","file_name":"Case_Based_Fuzzy_Cognitive_Maps_CBFCM_20160508-44983-j3a5sr.pdf","download_url":"https://www.academia.edu/attachments/45449077/download_file","bulk_download_file_name":"Case_Based_Fuzzy_Cognitive_Maps_CBFCM_Ne.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45449077/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_20160508-44983-j3a5sr-libre.pdf?1462714577=\u0026response-content-disposition=attachment%3B+filename%3DCase_Based_Fuzzy_Cognitive_Maps_CBFCM_Ne.pdf\u0026Expires=1739714317\u0026Signature=ApL8ZWwWT6Sq~zLcuyxETDNoBtEKd-s5JfNAkfrG9PjHtnSwDQYk7BZE76YUZnhvCl6ZN2-eq5n2IKhKYv01~o2xvNUXqNg0y57KCJXX~FJiSPWASbcPL2bxk5lQXJMyLyKMuyXAseARMEeN0G9zJDTuyAhQ1U2spaOvjDKQib8vCvWGcdcN-ZDW9kUT5k3u3RenF-1xKw03eqcezk-apPtQ~QpMEk~6RQ1YobdoAwIkeIZ94jrF3PcTlxNGwNIH6m8oKxpun7wSVxQ0xn4bljNhcZ840IBjaFSW6Y9zaUKBoTr6jlNsm--G12hHiXZkyR~71cWyR2-ByvQGtI5jGQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine"><img alt="Research paper thumbnail of New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine">New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to mod...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to modern lifestyle and with expanded clinical importance because of the rising incidence of obesity and diabetes. NAFLD is a clinical syndrome, and pathologically characterized by diﬀuse macrovesicular fatty change in the hepatocytes. NAFLD includes simple nonalcoholic fatty liver disease, nonalcoholic steatohepatitis (NASH) and hepatic cirrhosis. NASH is a disease evolving under the inﬂuence of various stimuli still poorly understood, but where insulin resistance prominently. In this paper we present new diagnosis model to predicate NASH.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340561]").text(description); $(".js-view-count[data-work-id=13340561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340561,"title":"New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine","internal_url":"https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340560"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340560/Social_Media_and_Patient_Health_Outcomes"><img alt="Research paper thumbnail of Social Media and Patient Health Outcomes" class="work-thumbnail" src="https://attachments.academia-assets.com/45449078/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340560/Social_Media_and_Patient_Health_Outcomes">Social Media and Patient Health Outcomes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives: To provide a review of the current excellent research published in the field of Consu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objectives: To provide a review of the current excellent research published in the field of Consumer Health Informatics. Method: We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers. Results: Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals' health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients' perception on privacy and social media. Conclusion: Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients' opinion on healthcare resources.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0494327df1da784bd8b78cc7dcad250b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449078,"asset_id":13340560,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449078/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340560"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340560"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340560; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340559"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340559/Formalization_of_clinical_practice_guidelines_nonalcoholic_steatohepatitis_diagnosis_model_related_personalized_medicine"><img alt="Research paper thumbnail of Formalization of clinical practice guidelines: nonalcoholic steatohepatitis diagnosis model-related personalized medicine" class="work-thumbnail" src="https://attachments.academia-assets.com/45449082/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340559/Formalization_of_clinical_practice_guidelines_nonalcoholic_steatohepatitis_diagnosis_model_related_personalized_medicine">Formalization of clinical practice guidelines: nonalcoholic steatohepatitis diagnosis model-related personalized medicine</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objective: Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objective: Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to modern lifestyle and with expanded clinical importance because of the rising incidence of obesity and diabetes. Methods: We have developed a framework for interacting with patient's heterogeneous data (omics, clinical and biological information) and formalizing medical knowledge. Results: In this paper we present new diagnosis model to predicate NASH. We extracted 18 clinical concepts and these concepts are annotated with SNOMED CT concepts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6f8cd678171eadec3fd5e58d1844c452" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449082,"asset_id":13340559,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449082/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340559"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340559"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340559; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340558"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340558/Social_Media_and_Patient_Health_Outcomes"><img alt="Research paper thumbnail of Social Media and Patient Health Outcomes" class="work-thumbnail" src="https://attachments.academia-assets.com/45449079/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340558/Social_Media_and_Patient_Health_Outcomes">Social Media and Patient Health Outcomes</a></div><div class="wp-workCard_item"><span>IMIA Yearbook</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives: To provide a review of the current excellent research published in the field of Consu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objectives: To provide a review of the current excellent research published in the field of Consumer Health Informatics. Method: We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers. Results: Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals' health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients' perception on privacy and social media. Conclusion: Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients' opinion on healthcare resources.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a3e8c80c59d20c46553f7a2a5142ff2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449079,"asset_id":13340558,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449079/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340558"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340558"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340558; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340557"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340557/Integrate_personalized_medicine_into_clinical_practice_to_improve_patient_safety"><img alt="Research paper thumbnail of Integrate personalized medicine into clinical practice to improve patient safety" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340557/Integrate_personalized_medicine_into_clinical_practice_to_improve_patient_safety">Integrate personalized medicine into clinical practice to improve patient safety</a></div><div class="wp-workCard_item"><span>IRBM</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Medical practice is based on the experience of practitioners and on learned medical know...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Medical practice is based on the experience of practitioners and on learned medical knowledge. This knowledge is based on studies of patient&amp;#39;s population. Modern medicine is facing a variety of clinical forms and also variable patients’ responses to treatment. Pharmacogenomics has brought insights to this variability and has led to the development of personalized medicine. The adoption of personalized medicine is slowed down by a number of technical and methodology barriers. The concept of personalized medicine should not be only limited to genetics but must reuse all patient information to get the most suitable patient profile. In this paper we present a methodology for the integration of personalized medicine into clinical practice.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340557"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340557]").text(description); $(".js-view-count[data-work-id=13340557]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340557; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340557']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340557]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340557,"title":"Integrate personalized medicine into clinical practice to improve patient safety","internal_url":"https://www.academia.edu/13340557/Integrate_personalized_medicine_into_clinical_practice_to_improve_patient_safety","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3104983" id="papers"><div class="js-work-strip profile--work_container" data-work-id="13340590"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340590/Clinical_Decision_Support_System_based_on_Fuzzy_Cognitive_Maps"><img alt="Research paper thumbnail of Clinical Decision Support System based on Fuzzy Cognitive Maps" class="work-thumbnail" src="https://attachments.academia-assets.com/38018771/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340590/Clinical_Decision_Support_System_based_on_Fuzzy_Cognitive_Maps">Clinical Decision Support System based on Fuzzy Cognitive Maps</a></div><div class="wp-workCard_item"><span>Journal of Computer Science & Systems Biology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Citation: Douali N, Papageorgiou EI, Roo JD, Cools H, Jaulent MC (2015) Clinical Decision Support...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Citation: Douali N, Papageorgiou EI, Roo JD, Cools H, Jaulent MC (2015) Clinical Decision Support System based on Fuzzy Cognitive Maps. J Comput Sci Syst Biol 8: 112-120.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4664fb9a60746c462517e68697ff3e6c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38018771,"asset_id":13340590,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38018771/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340590"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340590"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340590; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340590]").text(description); $(".js-view-count[data-work-id=13340590]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340590; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340590']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340574"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340574/Personalized_decision_support_system_based_on_clinical_practice_guidelines"><img alt="Research paper thumbnail of Personalized decision support system based on clinical practice guidelines" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340574/Personalized_decision_support_system_based_on_clinical_practice_guidelines">Personalized decision support system based on clinical practice guidelines</a></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Personalized medicine is a broad and rapidly advancing field of health care that is informed by e...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Personalized medicine is a broad and rapidly advancing field of health care that is informed by each person&#39;s unique clinical, genetic, genomic, and environmental information. Health care that embraces personalized medicine is an integrated, coordinated, evidence based approach to individualizing patient care across the continuum. It is very important to make the right treatment decision but before that to obtain a good diagnosis. There are several clinical forms of disease whose symptoms vary depending on the age and etiology. In this study, we investigated and evaluated a model framework, for personalized diagnostic decisions, based on Case Based Fuzzy Cognitive Map (CBFCM, a cognitive process applying the main features of fuzzy logic and neural processors to situations involving imprecision and uncertain descriptions, in a similar way to intuitive human reasoning. We explored the use of this method for modelling clinical practice guidelines.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340574"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340574"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340574; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340574]").text(description); $(".js-view-count[data-work-id=13340574]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340574; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340574']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340574]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340574,"title":"Personalized decision support system based on clinical practice guidelines","internal_url":"https://www.academia.edu/13340574/Personalized_decision_support_system_based_on_clinical_practice_guidelines","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340573"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340573/Diagnosis_management_of_gestational_Diabetes_using_a_Decision_support_system_based_on_clinical_guidelines"><img alt="Research paper thumbnail of Diagnosis management of gestational Diabetes using a Decision support system based on clinical guidelines" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340573/Diagnosis_management_of_gestational_Diabetes_using_a_Decision_support_system_based_on_clinical_guidelines">Diagnosis management of gestational Diabetes using a Decision support system based on clinical guidelines</a></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340573"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340573"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340573; 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</script> <div class="js-work-strip profile--work_container" data-work-id="13340572"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340572/Monitoring_the_emergence_of_antibiotic_resistance_using_the_technology_ot_the_DebugIT_platform_in_the_HEGP_context"><img alt="Research paper thumbnail of Monitoring the emergence of antibiotic resistance using the technology ot the DebugIT platform in the HEGP context" class="work-thumbnail" src="https://attachments.academia-assets.com/45449072/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340572/Monitoring_the_emergence_of_antibiotic_resistance_using_the_technology_ot_the_DebugIT_platform_in_the_HEGP_context">Monitoring the emergence of antibiotic resistance using the technology ot the DebugIT platform in the HEGP context</a></div><div class="wp-workCard_item"><span>BMC Proceedings</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eced0becd079c8747349ff1a0862d8b6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449072,"asset_id":13340572,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449072/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340572"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340572"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340572; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340572]").text(description); $(".js-view-count[data-work-id=13340572]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340572; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340572']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340571"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework"><img alt="Research paper thumbnail of New Semantic Web rules and new medical reasoning framework" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework">New Semantic Web rules and new medical reasoning framework</a></div><div class="wp-workCard_item"><span>2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Semantic Web attracts much attention both for academic and industry research. It is not ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Semantic Web attracts much attention both for academic and industry research. It is not only considered as the next step evolution of world wide web but several Semantic Web applications are used in many areas like medicine. Ontologies and rules play a key role in knowledge representation and semantic data access. However, traditionnal logic becomes less suitable in a domain in which the concepts to be represented don&amp;#39;t have a precise definition and in which there is vagueness relationships beetwen concepts. In this paper we describe new semantic web rules based on Case Based Fuzzy Cognitive Maps (CBFCM) and notation3, we describe also a new reasoning framework.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340571"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340571"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340571; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340571]").text(description); $(".js-view-count[data-work-id=13340571]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340571; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340571']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340571]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340571,"title":"New Semantic Web rules and new medical reasoning framework","internal_url":"https://www.academia.edu/13340571/New_Semantic_Web_rules_and_new_medical_reasoning_framework","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340570"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system"><img alt="Research paper thumbnail of Genomic and personalized medicine decision support system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system">Genomic and personalized medicine decision support system</a></div><div class="wp-workCard_item"><span>2012 IEEE International Conference on Complex Systems (ICCS)</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Despite the great interest of using genomics in clinical practice, many obstacles lie in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Despite the great interest of using genomics in clinical practice, many obstacles lie in the way of integrating genomic and personalized medicine into routine clinical care. Extended to genomic and personalized medicine, clinical decision support system (CDSS) could support the consistent and evidence-based application of genetic and genomic information in healthcare in many ways. In this paper we describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340570"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340570"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340570; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340570]").text(description); $(".js-view-count[data-work-id=13340570]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340570; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340570']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340570]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340570,"title":"Genomic and personalized medicine decision support system","internal_url":"https://www.academia.edu/13340570/Genomic_and_personalized_medicine_decision_support_system","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340569"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340569/Clinical_Practice_Guidelines_Formalization_for_Personalized_Medicine"><img alt="Research paper thumbnail of Clinical Practice Guidelines Formalization for Personalized Medicine" class="work-thumbnail" src="https://attachments.academia-assets.com/45449074/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340569/Clinical_Practice_Guidelines_Formalization_for_Personalized_Medicine">Clinical Practice Guidelines Formalization for Personalized Medicine</a></div><div class="wp-workCard_item"><span>International Journal of Applied Evolutionary Computation</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Clinical guidelines are important means to improve quality of health care while limiting cost and...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Clinical guidelines are important means to improve quality of health care while limiting cost and supporting the medical staff. They are written as free text with tables and figures. Transforming them into a formal, computer-processable representation is a difficult task requiring both computer scientist skills and medical knowledge. In this paper the authors describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62e920e9cfe3f8dad1bb00d226ee9cb6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449074,"asset_id":13340569,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449074/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340569"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340569"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340569; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340568/Evidence_based_Practice"><img alt="Research paper thumbnail of Evidence-based Practice" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340568/Evidence_based_Practice">Evidence-based Practice</a></div><div class="wp-workCard_item"><span>Yearbook of medical informatics</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">OBJECTIVES: To provide an overview of outstanding current research conducted in Education and Con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">OBJECTIVES: To provide an overview of outstanding current research conducted in Education and Consumer Informatics. METHOD: Synopsis of the articles on education and consumer health informatics published in 2012 and selected for the IMIA Yearbook of Medical Informatics 2013. RESULTS: Architecture of monitoring or telehealth information systems for patients with chronic disease must include wireless devices to aid in the collection of personal data. Data acquisition technologies have an impact on patients&#39; willingness to participate in telehealth programmes. Patients are more likely to prefer mobile applications over web-based applications. Social media is widely used by clinicians. Especially younger clinicians use it for personal purposes and for reference materials retrieval. Questions remain on optimal training requirements and on the effects on clinician behavior and on patient outcomes. A high level of e-Health literacy by patients will promote increased adoption and utiliz...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340568; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340568]").text(description); $(".js-view-count[data-work-id=13340568]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340568; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340568']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340568,"title":"Evidence-based Practice","internal_url":"https://www.academia.edu/13340568/Evidence_based_Practice","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340567"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte"><img alt="Research paper thumbnail of Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte">Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Diagnosis decision making in medicine needs to take into account the patient’s clinical parameter...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Diagnosis decision making in medicine needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician to discuss and confirm a diagnosis. More and more decision support systems have to integrate different types of knowledge bases including the clinical practice guidelines. Fuzzy Cognitive Maps is a soft computing technique capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. FCM are limited to the representation of simple monotonic causal relations between concepts, however Rule Based Fuzzy Cognitive Maps start from a traditional fuzzy architecture with feedback in order to overcome FCM weaknesses. We used these two methods for modelling knowledge of Clinical Practice Guidelines and we used Semantic Web tools to implement them. We identified 25 clinical concepts and 13 diagnosis concepts. We defined 320 rules to implement FCM and 623 rules for RBFCM. 9...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340567"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340567"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340567; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340567]").text(description); $(".js-view-count[data-work-id=13340567]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340567; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340567']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340567]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340567,"title":"Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte","internal_url":"https://www.academia.edu/13340567/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340566"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics"><img alt="Research paper thumbnail of Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics">Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics</a></div><div class="wp-workCard_item"><span>Yearbook of medical informatics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To provide an overview of outstanding current research conducted in Education and Consumer Inform...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To provide an overview of outstanding current research conducted in Education and Consumer Informatics. Synopsis of the articles on education and consumer health informatics published in 2012 and selected for the IMIA Yearbook of Medical Informatics 2013. Architecture of monitoring or telehealth information systems for patients with chronic disease must include wireless devices to aid in the collection of personal data. Data acquisition technologies have an impact on patients&#39; willingness to participate in telehealth programmes. Patients are more likely to prefer mobile applications over web-based applications. Social media is widely used by clinicians. Especially younger clinicians use it for personal purposes and for reference materials retrieval. Questions remain on optimal training requirements and on the effects on clinician behavior and on patient outcomes. A high level of e-Health literacy by patients will promote increased adoption and utilization of personal health reco...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340566"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340566"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340566; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340566]").text(description); $(".js-view-count[data-work-id=13340566]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340566; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340566']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340566]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340566,"title":"Evidence-based Practice. Findings from the Section on Education and Consumer Health Informatics","internal_url":"https://www.academia.edu/13340566/Evidence_based_Practice_Findings_from_the_Section_on_Education_and_Consumer_Health_Informatics","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system"><img alt="Research paper thumbnail of Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system">Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://obs-vlfr.academia.edu/DrDoualiNassim">Nassim Douali</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KarineCl%C3%A9ment">Karine Clément</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Non-alcoholic fatty liver disease (NAFLD) is a hepatic disease associated with metabolic syndrome...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Non-alcoholic fatty liver disease (NAFLD) is a hepatic disease associated with metabolic syndrome. NAFLD covers a spectrum of liver disease from steatosis to non-alcoholic steatohepatitis (NASH) and cirrhosis. NASH is a disease evolving under the influence of various stimuli still poorly understood. In this paper we present new clinical decision support system (CDSS) for the diagnosis of NASH and the comparison of this system with machine learning algorithms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340565; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340565]").text(description); $(".js-view-count[data-work-id=13340565]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340565; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340565']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340565]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340565,"title":"Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system","internal_url":"https://www.academia.edu/13340565/Noninvasive_diagnosis_of_nonalcoholic_steatohepatitis_disease_based_on_clinical_decision_support_system","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340564"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web"><img alt="Research paper thumbnail of Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web">Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web</a></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Incorrect or improper diagnostic tests uses have important implications for health outcomes and c...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Incorrect or improper diagnostic tests uses have important implications for health outcomes and costs. Clinical Decision Support Systems purports to optimize the use of diagnostic tests in clinical practice. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician&#39;s previous experiences and new knowledge. Such medical knowledge is vague and defines uncertain relationships between facts and diagnosis, in this paper, Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps. They allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve diagnosis decision. We have developed a framework for interacting with patient&#39;s data and formalizing knowledge from Guidelines in the domain of Urinary Tract Infection. The conducted study allowed us to test cognitive approaches for implementing Guidelines with Semantic Web tools. The advantage of this approach is...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340564"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340564"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340564; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340564]").text(description); $(".js-view-count[data-work-id=13340564]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340564; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340564']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340564]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340564,"title":"Clinical diagnosis support system based on case based fuzzy cognitive maps and semantic web","internal_url":"https://www.academia.edu/13340564/Clinical_diagnosis_support_system_based_on_case_based_fuzzy_cognitive_maps_and_semantic_web","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340563"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte"><img alt="Research paper thumbnail of Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte">Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte</a></div><div class="wp-workCard_item"><span>Informatique et Santé</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Diagnosis decision making in medicine needs to take into account the patient’s clinical ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Diagnosis decision making in medicine needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician to discuss and confirm a diagnosis. More and more decision support systems have to integrate different types of knowledge bases including the clinical practice guidelines. Fuzzy Cognitive Maps is a soft computing technique capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. FCM are limited to the representation of simple monotonic causal relations between concepts, however Rule Based Fuzzy Cognitive Maps start from a traditional fuzzy architecture with feedback in order to overcome FCM weaknesses. We used these two methods for modelling knowledge of Clinical Practice Guidelines and we used Semantic Web tools to implement them. We identified 25 clinical concepts and 13 diagnosis concepts. We defined 320 rules to implement FCM and 623 rules for RBFCM. 92% of the diagnoses proposed by the FCM and 94% of the diagnoses proposed by the RBFCM were correct.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340563]").text(description); $(".js-view-count[data-work-id=13340563]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340563; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340563']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340563]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340563,"title":"Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte","internal_url":"https://www.academia.edu/13340563/Utilisation_du_web_s%C3%A9mantique_dans_le_raisonnement_m%C3%A9dical_diagnostique_Domaine_d_application_Les_infections_des_voies_urinaires_de_l_adulte","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13264132"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13264132/Improve_treatment_of_pneumonia_and_reduce_adverse_drug_events"><img alt="Research paper thumbnail of Improve treatment of pneumonia and reduce adverse drug events" class="work-thumbnail" src="https://attachments.academia-assets.com/45534136/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13264132/Improve_treatment_of_pneumonia_and_reduce_adverse_drug_events">Improve treatment of pneumonia and reduce adverse drug events</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DirkColaert">Dirk Colaert</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://obs-vlfr.academia.edu/DrDoualiNassim">Nassim Douali</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HongSun7">Hong Sun</a></span></div><div class="wp-workCard_item"><span>2013 IEEE Point-of-Care Healthcare Technologies (PHT)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead to hospitalization; these events occur more often in the elderly. ADE may result from medication errors at the medication process or from ADE. In this paper we present a new method to improve treatment of Community-acquired pneumonia. We use database of 86 patients to test and validate this approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e7877bdcd16f33e7cacb897403077642" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45534136,"asset_id":13264132,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45534136/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13264132"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13264132"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13264132; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340562"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM"><img alt="Research paper thumbnail of Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM" class="work-thumbnail" src="https://attachments.academia-assets.com/45449077/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM">Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM</a></div><div class="wp-workCard_item"><span>2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Doctor usually uses his experience from the clinical practice to confirm a diagnosis and to presc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Doctor usually uses his experience from the clinical practice to confirm a diagnosis and to prescribe an appropriate treatment for a specific patient. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician's previous experiences and new knowledge. Such knowledge and experience are vague and define uncertain relationships between facts and diagnosis. Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps (FCM) that allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve FCM decision support systems. Semantic web is used to implement both FCM approaches. A database of 71 patients with urinary tract infections was used to perform the proposed approach. A comparative study between FCM (92%) and CBFCM (99%) was conducted and the results derived by CBFCM approach showed CBFCM to be superior to FCM.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3adaa93832368b7935968605b2034274" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449077,"asset_id":13340562,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449077/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340562"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340562"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340562; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340562]").text(description); $(".js-view-count[data-work-id=13340562]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340562; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340562']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3adaa93832368b7935968605b2034274" } } $('.js-work-strip[data-work-id=13340562]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340562,"title":"Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM","internal_url":"https://www.academia.edu/13340562/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_New_method_for_medical_reasoning_Comparison_study_between_CBFCM_FCM","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[{"id":45449077,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45449077/thumbnails/1.jpg","file_name":"Case_Based_Fuzzy_Cognitive_Maps_CBFCM_20160508-44983-j3a5sr.pdf","download_url":"https://www.academia.edu/attachments/45449077/download_file","bulk_download_file_name":"Case_Based_Fuzzy_Cognitive_Maps_CBFCM_Ne.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45449077/Case_Based_Fuzzy_Cognitive_Maps_CBFCM_20160508-44983-j3a5sr-libre.pdf?1462714577=\u0026response-content-disposition=attachment%3B+filename%3DCase_Based_Fuzzy_Cognitive_Maps_CBFCM_Ne.pdf\u0026Expires=1739714317\u0026Signature=ApL8ZWwWT6Sq~zLcuyxETDNoBtEKd-s5JfNAkfrG9PjHtnSwDQYk7BZE76YUZnhvCl6ZN2-eq5n2IKhKYv01~o2xvNUXqNg0y57KCJXX~FJiSPWASbcPL2bxk5lQXJMyLyKMuyXAseARMEeN0G9zJDTuyAhQ1U2spaOvjDKQib8vCvWGcdcN-ZDW9kUT5k3u3RenF-1xKw03eqcezk-apPtQ~QpMEk~6RQ1YobdoAwIkeIZ94jrF3PcTlxNGwNIH6m8oKxpun7wSVxQ0xn4bljNhcZ840IBjaFSW6Y9zaUKBoTr6jlNsm--G12hHiXZkyR~71cWyR2-ByvQGtI5jGQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine"><img alt="Research paper thumbnail of New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine">New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to mod...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to modern lifestyle and with expanded clinical importance because of the rising incidence of obesity and diabetes. NAFLD is a clinical syndrome, and pathologically characterized by diﬀuse macrovesicular fatty change in the hepatocytes. NAFLD includes simple nonalcoholic fatty liver disease, nonalcoholic steatohepatitis (NASH) and hepatic cirrhosis. NASH is a disease evolving under the inﬂuence of various stimuli still poorly understood, but where insulin resistance prominently. In this paper we present new diagnosis model to predicate NASH.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340561]").text(description); $(".js-view-count[data-work-id=13340561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13340561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13340561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=13340561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340561,"title":"New Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine","internal_url":"https://www.academia.edu/13340561/New_Nonalcoholic_Steatohepatitis_Diagnosis_Model_Related_Personalized_Medicine","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340560"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340560/Social_Media_and_Patient_Health_Outcomes"><img alt="Research paper thumbnail of Social Media and Patient Health Outcomes" class="work-thumbnail" src="https://attachments.academia-assets.com/45449078/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340560/Social_Media_and_Patient_Health_Outcomes">Social Media and Patient Health Outcomes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives: To provide a review of the current excellent research published in the field of Consu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objectives: To provide a review of the current excellent research published in the field of Consumer Health Informatics. Method: We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers. Results: Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals' health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients' perception on privacy and social media. Conclusion: Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients' opinion on healthcare resources.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0494327df1da784bd8b78cc7dcad250b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449078,"asset_id":13340560,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449078/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340560"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340560"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340560; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340559"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340559/Formalization_of_clinical_practice_guidelines_nonalcoholic_steatohepatitis_diagnosis_model_related_personalized_medicine"><img alt="Research paper thumbnail of Formalization of clinical practice guidelines: nonalcoholic steatohepatitis diagnosis model-related personalized medicine" class="work-thumbnail" src="https://attachments.academia-assets.com/45449082/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340559/Formalization_of_clinical_practice_guidelines_nonalcoholic_steatohepatitis_diagnosis_model_related_personalized_medicine">Formalization of clinical practice guidelines: nonalcoholic steatohepatitis diagnosis model-related personalized medicine</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objective: Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objective: Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to modern lifestyle and with expanded clinical importance because of the rising incidence of obesity and diabetes. Methods: We have developed a framework for interacting with patient's heterogeneous data (omics, clinical and biological information) and formalizing medical knowledge. Results: In this paper we present new diagnosis model to predicate NASH. We extracted 18 clinical concepts and these concepts are annotated with SNOMED CT concepts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6f8cd678171eadec3fd5e58d1844c452" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449082,"asset_id":13340559,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449082/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340559"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340559"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340559; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6f8cd678171eadec3fd5e58d1844c452" } } $('.js-work-strip[data-work-id=13340559]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340559,"title":"Formalization of clinical practice guidelines: nonalcoholic steatohepatitis diagnosis model-related personalized medicine","internal_url":"https://www.academia.edu/13340559/Formalization_of_clinical_practice_guidelines_nonalcoholic_steatohepatitis_diagnosis_model_related_personalized_medicine","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[{"id":45449082,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45449082/thumbnails/1.jpg","file_name":"Formalization_of_Clinical_Practice_Guide20160508-44982-19wr176.pdf","download_url":"https://www.academia.edu/attachments/45449082/download_file","bulk_download_file_name":"Formalization_of_clinical_practice_guide.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45449082/Formalization_of_Clinical_Practice_Guide20160508-44982-19wr176-libre.pdf?1462714575=\u0026response-content-disposition=attachment%3B+filename%3DFormalization_of_clinical_practice_guide.pdf\u0026Expires=1739714317\u0026Signature=N7hRN5pVzcREPi8bRasrSFQPLUu0vXxCnSo0vSXHftWMxBzxV3u~PW7~V88o6llg1hqdMBP7kYtdBP9pxnqZxP9lI-dxqDo2YYm0ZV6qa3KPL28E0y0wgCUhwe8E5IEdpuFchd9y1JHe6IGqe6D9oIe6iFRcOQ1CtqRC1XCLsaOWDNrOaqvaUdgEJcngkFmMX3ZwLTvcGANCGy6H0ITldBCob46ATmp-WHKJq7lpJWTFDOq8quupyRB6uPI3XgK5wV62ODRsuDVwd6FIvMLfDg75Es2j0NyVaMbDgmXEHAqfmqLPw1n-MwsnYOshyslpoMjL-tBoG-KRGNtCVj~IuA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340558"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13340558/Social_Media_and_Patient_Health_Outcomes"><img alt="Research paper thumbnail of Social Media and Patient Health Outcomes" class="work-thumbnail" src="https://attachments.academia-assets.com/45449079/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13340558/Social_Media_and_Patient_Health_Outcomes">Social Media and Patient Health Outcomes</a></div><div class="wp-workCard_item"><span>IMIA Yearbook</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives: To provide a review of the current excellent research published in the field of Consu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Objectives: To provide a review of the current excellent research published in the field of Consumer Health Informatics. Method: We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers. Results: Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals' health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients' perception on privacy and social media. Conclusion: Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients' opinion on healthcare resources.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a3e8c80c59d20c46553f7a2a5142ff2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45449079,"asset_id":13340558,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45449079/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340558"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340558"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340558; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0a3e8c80c59d20c46553f7a2a5142ff2" } } $('.js-work-strip[data-work-id=13340558]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13340558,"title":"Social Media and Patient Health Outcomes","internal_url":"https://www.academia.edu/13340558/Social_Media_and_Patient_Health_Outcomes","owner_id":32580297,"coauthors_can_edit":true,"owner":{"id":32580297,"first_name":"Nassim","middle_initials":"","last_name":"Douali","page_name":"DrDoualiNassim","domain_name":"obs-vlfr","created_at":"2015-06-27T00:41:48.871-07:00","display_name":"Nassim Douali","url":"https://obs-vlfr.academia.edu/DrDoualiNassim"},"attachments":[{"id":45449079,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45449079/thumbnails/1.jpg","file_name":"Social_media_and_patient_health_outcomes20160508-1067-1xje319.pdf","download_url":"https://www.academia.edu/attachments/45449079/download_file","bulk_download_file_name":"Social_Media_and_Patient_Health_Outcomes.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45449079/Social_media_and_patient_health_outcomes20160508-1067-1xje319-libre.pdf?1462714576=\u0026response-content-disposition=attachment%3B+filename%3DSocial_Media_and_Patient_Health_Outcomes.pdf\u0026Expires=1739714317\u0026Signature=N~oJvSTzAwQq2WW8ElUayV3SbwFPS-dx2U6ZOjzu6tGmlbmLhXHx15OW-sIkPISVdSQxR9XJn8QZajWEzNJol2IKurXhVfULMazeI6YDdzyU35Y1eeM-9-ZScF2Ozs~t0Av3wXmBxpW3eNMXKwYfMCktTL5PSQ9qQkDA~3D70~TBOyvoXPp4cDE8675WQfSkT9AH-7zWSp~MtikgMbOj9RpJfmZ2OW48QRynUWTuMtJQVaDYnJfF12w4yUJGMcp~51ItMo~HVEbFiLo5e1JXLG5bHWFoPFd0H1WYnBKZPlV0cJEtHBTJ4M4sHTs3cJgfJVMXpsOQDKooY8Et0Ox9bQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13340557"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/13340557/Integrate_personalized_medicine_into_clinical_practice_to_improve_patient_safety"><img alt="Research paper thumbnail of Integrate personalized medicine into clinical practice to improve patient safety" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/13340557/Integrate_personalized_medicine_into_clinical_practice_to_improve_patient_safety">Integrate personalized medicine into clinical practice to improve patient safety</a></div><div class="wp-workCard_item"><span>IRBM</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Medical practice is based on the experience of practitioners and on learned medical know...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Medical practice is based on the experience of practitioners and on learned medical knowledge. This knowledge is based on studies of patient&amp;#39;s population. Modern medicine is facing a variety of clinical forms and also variable patients’ responses to treatment. Pharmacogenomics has brought insights to this variability and has led to the development of personalized medicine. The adoption of personalized medicine is slowed down by a number of technical and methodology barriers. The concept of personalized medicine should not be only limited to genetics but must reuse all patient information to get the most suitable patient profile. In this paper we present a methodology for the integration of personalized medicine into clinical practice.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13340557"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13340557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13340557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13340557]").text(description); 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