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(PDF) SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN | International Journal of Information Sciences and Techniques (IJIST) - Academia.edu
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Data mining is gaining popularity in different research arenas due to its infinite applications and" /> <title>(PDF) SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN | International Journal of Information Sciences and Techniques (IJIST) - Academia.edu</title> <link rel="canonical" href="https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "single_work", 'action': "show", 'controller_action': 'single_work#show', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script> var $controller_name = 'single_work'; var $action_name = "show"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.require = { config: function() { return function() {} } } </script> <script> window.Aedu = window.Aedu || {}; window.Aedu.hit_data = null; window.Aedu.serverRenderTime = new Date(1732405762000); window.Aedu.timeDifference = new Date().getTime() - 1732405762000; </script> <script type="application/ld+json">{"@context":"https://schema.org","@type":"ScholarlyArticle","abstract":"Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications and methodologies to mine the information in correct manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making. Data mining has an infinite potential to utilize healthcare data more efficiently and effectually to predict different kind of disease. This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.","author":[{"@context":"https://schema.org","@type":"Person","name":"International Journal of Information Sciences and Techniques (IJIST)"}],"contributor":[],"dateCreated":"2018-02-04","dateModified":"2018-02-04","datePublished":"2016-01-01","headline":"SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN","inLanguage":"en","keywords":["Artificial Intelligence","Data Mining","Temporal Data Mining","Stream Mining (Data Mining)","Clustering Algorithms","Opinion Mining (Data Mining)","Genome Wide Association Studies (GWAS)","Data Mining in Bioinformatics","Data mining (Data Analysis)","Fuzzy Clustering","Distributed Data Mining","Data Warehousing and Data Mining","Clustering","Data Stream Mining","Optimization for clustering","Privacy Preserving Data Mining","Text Clustering","XML data clustering","Data Mining – Concepts and Techniques","Document Clustering","Clustering Initialization and Robustness","Graph Clustering","Data Clustering","Web Objects Clustering Through Aggregation for Enhanced Search Results","Text Mining, Document clustering, Data Mining","Hierarchical Clustering","American Psychological Association","Clustering Algorithm in Manet","Data Clustering algorithms","Clustering and routing of mobile ad hoc networks","Association Rules","APELA (Association pour l'étude des littératures africaines)","Clustering Nature of Gas-Solid Systems","Fuzzy C-Means Clustering 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window.loswp.shouldShowBulkDownload = true; window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":35838838,"created_at":"2018-02-04T22:18:27.812-08:00","from_world_paper_id":null,"updated_at":"2022-09-11T05:01:17.210-07:00","_data":{"issue":"2","volume":"6","abstract":"Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications and methodologies to mine the information in correct manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making. Data mining has an infinite potential to utilize healthcare data more efficiently and effectually to predict different kind of disease. This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.","page_numbers":"53-60","publication_date":"2016,,","publication_name":"http://aircconline.com/ijist/V6N2/6216ijist06.pdf"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN","broadcastable":false,"draft":false,"has_indexable_attachment":true,"indexable":false}}["work"]; window.loswp.workCoauthors = [74068792]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":55716984,"attachmentType":"pdf"}"><img alt="First page of “SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/55716984/mini_magick20190114-9346-iqf1ak.png?1547454856" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="74068792" href="https://independent.academia.edu/Journal_IJIST"><img alt="Profile image of International Journal of Information Sciences and Techniques (IJIST)" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/74068792/18783181/111422471/s65_international_journal_of_information_sciences_and_techniques._ijist_.png" />International Journal of Information Sciences and Techniques (IJIST)</a></div><p class="ds-work-card--detail ds2-5-body-sm">2016, http://aircconline.com/ijist/V6N2/6216ijist06.pdf</p><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications and methodologies to mine the information in correct manner. Data mining techniques have the capabilities to discover hidden patterns or relationships among the objects in the medical data. In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making. Data mining has an infinite potential to utilize healthcare data more efficiently and effectually to predict different kind of disease. This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":55716984,"attachmentType":"pdf","workUrl":"https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":55716984,"attachmentType":"pdf","workUrl":"https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="55716984" data-landing_url="https://www.academia.edu/35838838/SURVEY_OF_DATA_MINING_TECHNIQUES_USED_IN_HEALTHCARE_DOMAIN" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":55716984,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":55716984,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_55716984" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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