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Search results for: Clinical decision support system

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</div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Clinical decision support system"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 27782</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Clinical decision support system</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27782</span> A Script for Presentation to the Management of a Teaching Hospital on DXplain Clinical Decision Support System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jacob%20Nortey">Jacob Nortey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: In recent years, there has been an enormous success in discoveries of scientific knowledge in medicine coupled with the advancement of technology. Despite all these successes, diagnoses and treatment of diseases have become complex. According to the Ibero – American Study of Adverse Effects (IBEAS), about 10% of hospital patients suffer from secondary damage during the care process, and approximately 2% die from this process. Many clinical decision support systems have been developed to help mitigate some healthcare medical errors. Method: Relevant databases were searched, including ones that were peculiar to the clinical decision support system (that is, using google scholar, Pub Med and general google searches). The articles were then screened for a comprehensive overview of the functionality, consultative style and statistical usage of Dxplain Clinical decision support systems. Results: Inferences drawn from the articles showed high usage of Dxplain clinical decision support system for problem-based learning among students in developed countries as against little or no usage among students in Low – and Middle – income Countries. The results also indicated high usage among general practitioners. Conclusion: Despite the challenges Dxplain presents, the benefits of its usage to clinicians and students are enormous. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dxplain" title="dxplain">dxplain</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20support%20sytem" title=" clinical decision support sytem"> clinical decision support sytem</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20systems" title=" support systems"> support systems</a> </p> <a href="https://publications.waset.org/abstracts/165029/a-script-for-presentation-to-the-management-of-a-teaching-hospital-on-dxplain-clinical-decision-support-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165029.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27781</span> Evaluation of Clinical Decision Support System in Electronic Medical Record System: A Case of Malawi National Art Electronic Medical Record System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pachawo%20Bisani">Pachawo Bisani</a>, <a href="https://publications.waset.org/abstracts/search?q=Goodall%20Nyirenda"> Goodall Nyirenda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Malawi National Antiretroviral Therapy (NART) Electronic Medical Record (EMR) system was designed and developed with guidance from the Ministry of Health through the Department of HIV and AIDS (DHA) with the aim of supporting the management of HIV patient data and reporting in high prevalence ART clinics. As of 2021, the system has been scaled up to over 206 facilities across the country. The system is integrated with the clinical decision support system (CDSS) to assist healthcare providers in making a decision about an individual patient at a particular point in time. Despite NART EMR undergoing several evaluations and assessments, little has been done to evaluate the clinical decision support system in the NART EMR system. Hence, the study aimed to evaluate the use of CDSS in the NART EMR system in Malawi. The study adopted a mixed-method approach, and data was collected through interviews, observations, and questionnaires. The study has revealed that the CDSS tools were integrated into the ART clinic workflow, making it easy for the user to use it. The study has also revealed challenges in system reliability and information accuracy. Despite the challenges, the study further revealed that the system is effective and efficient, and overall, users are satisfied with the system. The study recommends that the implementers focus more on the logic behind the clinical decision-support intervention in order to address some of the concerns and enhance the accuracy of the information supplied. The study further suggests consulting the system's actual users throughout implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20support%20system" title="clinical decision support system">clinical decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20medical%20record%20system" title=" electronic medical record system"> electronic medical record system</a>, <a href="https://publications.waset.org/abstracts/search?q=usability" title=" usability"> usability</a>, <a href="https://publications.waset.org/abstracts/search?q=antiretroviral%20therapy" title=" antiretroviral therapy"> antiretroviral therapy</a> </p> <a href="https://publications.waset.org/abstracts/159450/evaluation-of-clinical-decision-support-system-in-electronic-medical-record-system-a-case-of-malawi-national-art-electronic-medical-record-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159450.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27780</span> Introducing Design Principles for Clinical Decision Support Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luca%20Martignoni">Luca Martignoni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The increasing usage of clinical decision support systems in healthcare and the demand for software that enables doctors to take informed decisions is changing everyday clinical practice. However, as technology advances not only are the benefits of technology growing, but so are the potential risks. A growing danger is the doctors’ over-reliance on the proposed decision of the clinical decision support system, leading towards deskilling and rash decisions by doctors. In that regard, identifying doctors' requirements for software and developing approaches to prevent technological over-reliance is of utmost importance. In this paper, we report the results of a design science research study, focusing on the requirements and design principles of ultrasound software. We conducted a total of 15 interviews with experts about poten-tial ultrasound software functions. Subsequently, we developed meta-requirements and design principles to design future clinical decision support systems efficiently and as free from the occur-rence of technological over-reliance as possible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20support%20systems" title="clinical decision support systems">clinical decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=technological%20over-reliance" title=" technological over-reliance"> technological over-reliance</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20principles" title=" design principles"> design principles</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20science%20research" title=" design science research"> design science research</a> </p> <a href="https://publications.waset.org/abstracts/164680/introducing-design-principles-for-clinical-decision-support-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164680.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27779</span> A Script for Presentation to the Management of a Teaching Hospital on MYCIN: A Clinical Decision Support System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rashida%20Suleiman">Rashida Suleiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Asamoah%20Jnr.%20Boakye"> Asamoah Jnr. Boakye</a>, <a href="https://publications.waset.org/abstracts/search?q=Suleiman%20Ahmed%20Ibn%20Ahmed"> Suleiman Ahmed Ibn Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, there has been an enormous success in discoveries of scientific knowledge in medicine coupled with the advancement of technology. Despite all these successes, diagnoses and treatment of diseases have become complex. MYCIN is a groundbreaking illustration of a clinical decision support system (CDSS), which was developed to assist physicians in the diagnosis and treatment of bacterial infections by providing suggestions for antibiotic regimens. MYCIN was one of the earliest expert systems to demonstrate how CDSSs may assist human decision-making in complicated areas. Relevant databases were searched using google scholar, PubMed and general Google search, which were peculiar to clinical decision support systems. The articles were then screened for a comprehensive overview of the functionality, consultative style and statistical usage of MYCIN, a clinical decision support system. Inferences drawn from the articles showed some usage of MYCIN for problem-based learning among clinicians and students in some countries. Furthermore, the data demonstrated that MYCIN had completed clinical testing at Stanford University Hospital following years of research. The system (MYCIN) was shown to be extremely accurate and effective in diagnosing and treating bacterial infections, and it demonstrated how CDSSs might enhance clinical decision-making in difficult circumstances. Despite the challenges MYCIN presents, the benefits of its usage to clinicians, students and software developers are enormous. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20support%20system" title="clinical decision support system">clinical decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=MYCIN" title=" MYCIN"> MYCIN</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=bacterial%20infections" title=" bacterial infections"> bacterial infections</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20systems" title=" support systems"> support systems</a> </p> <a href="https://publications.waset.org/abstracts/165608/a-script-for-presentation-to-the-management-of-a-teaching-hospital-on-mycin-a-clinical-decision-support-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165608.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27778</span> Isolation Preserving Medical Conclusion Hold Structure via C5 Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Swati%20Kishor%20Zode">Swati Kishor Zode</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Ambekar"> Rahul Ambekar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data mining is the extraction of fascinating examples on the other hand information from enormous measure of information and choice is made as indicated by the applicable information extracted. As of late, with the dangerous advancement in internet, stockpiling of information and handling procedures, privacy preservation has been one of the major (higher) concerns in data mining. Various techniques and methods have been produced for protection saving data mining. In the situation of Clinical Decision Support System, the choice is to be made on the premise of the data separated from the remote servers by means of Internet to diagnose the patient. In this paper, the fundamental thought is to build the precision of Decision Support System for multiple diseases for different maladies and in addition protect persistent information while correspondence between Clinician side (Client side) also, the Server side. A privacy preserving protocol for clinical decision support network is proposed so that patients information dependably stay scrambled amid diagnose prepare by looking after the accuracy. To enhance the precision of Decision Support System for various malady C5.0 classifiers and to save security, a Homomorphism encryption algorithm Paillier cryptosystem is being utilized. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=homomorphic%20encryption" title=" homomorphic encryption"> homomorphic encryption</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20support" title=" clinical decision support"> clinical decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy "> privacy </a> </p> <a href="https://publications.waset.org/abstracts/32625/isolation-preserving-medical-conclusion-hold-structure-via-c5-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32625.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">330</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27777</span> Decision Support System for Tourism in Northern Part of Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Katejarinporn%20Chaiya">Katejarinporn Chaiya</a>, <a href="https://publications.waset.org/abstracts/search?q=Thawit%20Janbanklong"> Thawit Janbanklong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purposes of this study were to design and find users’ satisfaction after using the decision support system for tourism in the Northern part of Thailand, which can provide tourists with touristic information and plan their personal voyage. Such information can be retrieved systematically based on personal budget and provinces. The samples of this study were five experts and users: 30 "white collars" in Bangkok. This decision support system was designed via ASP.NET. Its database was developed by using MySQL, for administrators to effectively manage the database. The application outcome revealed that the innovation works properly as sought in objectives. Specialists and white collars in Bangkok have evaluated the decision support system; the result was satisfactorily positive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20Support%20System" title="decision Support System">decision Support System</a>, <a href="https://publications.waset.org/abstracts/search?q=ASP.NET" title=" ASP.NET"> ASP.NET</a>, <a href="https://publications.waset.org/abstracts/search?q=MySQL" title=" MySQL"> MySQL</a>, <a href="https://publications.waset.org/abstracts/search?q=white%20collars" title=" white collars"> white collars</a> </p> <a href="https://publications.waset.org/abstracts/11527/decision-support-system-for-tourism-in-northern-part-of-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11527.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">358</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27776</span> Efficient Design of Distribution Logistics by Using a Model-Based Decision Support System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Becker">J. Becker</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Arnold"> R. Arnold</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The design of distribution logistics has a decisive impact on a company's logistics costs and performance. Hence, such solutions make an essential contribution to corporate success. This article describes a decision support system for analyzing the potential of distribution logistics in terms of logistics costs and performance. In contrast to previous procedures of business process re-engineering (BPR), this method maps distribution logistics holistically under variable distribution structures. Combined with qualitative measures the decision support system will contribute to a more efficient design of distribution logistics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title="decision support system">decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=distribution%20logistics" title=" distribution logistics"> distribution logistics</a>, <a href="https://publications.waset.org/abstracts/search?q=potential%20analyses" title=" potential analyses"> potential analyses</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a> </p> <a href="https://publications.waset.org/abstracts/44230/efficient-design-of-distribution-logistics-by-using-a-model-based-decision-support-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44230.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27775</span> Mining Educational Data to Support Students’ Major Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kunyanuth%20Kularbphettong">Kunyanuth Kularbphettong</a>, <a href="https://publications.waset.org/abstracts/search?q=Cholticha%20Tongsiri"> Cholticha Tongsiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to create the model for student in choosing an emphasized track of student majoring in computer science at Suan Sunandha Rajabhat University. The objective of this research is to develop the suggested system using data mining technique to analyze knowledge and conduct decision rules. Such relationships can be used to demonstrate the reasonableness of student choosing a track as well as to support his/her decision and the system is verified by experts in the field. The sampling is from student of computer science based on the system and the questionnaire to see the satisfaction. The system result is found to be satisfactory by both experts and student as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining%20technique" title="data mining technique">data mining technique</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20decision%20support%20system" title=" the decision support system"> the decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20and%20decision%20rules" title=" knowledge and decision rules"> knowledge and decision rules</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a> </p> <a href="https://publications.waset.org/abstracts/2788/mining-educational-data-to-support-students-major-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2788.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">423</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27774</span> Decision Support System for Optimal Placement of Wind Turbines in Electric Distribution Grid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Ouammi">Ahmed Ouammi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an integrated decision framework to support decision makers in the selection and optimal allocation of wind power plants in the electric grid. The developed approach intends to maximize the benefice related to the project investment during the planning period. The proposed decision model considers the main cost components, meteorological data, environmental impacts, operation and regulation constraints, and territorial information. The decision framework is expressed as a stochastic constrained optimization problem with the aim to identify the suitable locations and related optimal wind turbine technology considering the operational constraints and maximizing the benefice. The developed decision support system is applied to a case study to demonstrate and validate its performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20systems" title="decision support systems">decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20power%20grid" title=" electric power grid"> electric power grid</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title=" wind energy "> wind energy </a> </p> <a href="https://publications.waset.org/abstracts/122208/decision-support-system-for-optimal-placement-of-wind-turbines-in-electric-distribution-grid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122208.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27773</span> Decision Making System for Clinical Datasets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Bharathiraja">P. Bharathiraja </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Computer Aided decision making system is used to enhance diagnosis and prognosis of diseases and also to assist clinicians and junior doctors in clinical decision making. Medical Data used for decision making should be definite and consistent. Data Mining and soft computing techniques are used for cleaning the data and for incorporating human reasoning in decision making systems. Fuzzy rule based inference technique can be used for classification in order to incorporate human reasoning in the decision making process. In this work, missing values are imputed using the mean or mode of the attribute. The data are normalized using min-ma normalization to improve the design and efficiency of the fuzzy inference system. The fuzzy inference system is used to handle the uncertainties that exist in the medical data. Equal-width-partitioning is used to partition the attribute values into appropriate fuzzy intervals. Fuzzy rules are generated using Class Based Associative rule mining algorithm. The system is trained and tested using heart disease data set from the University of California at Irvine (UCI) Machine Learning Repository. The data was split using a hold out approach into training and testing data. From the experimental results it can be inferred that classification using fuzzy inference system performs better than trivial IF-THEN rule based classification approaches. Furthermore it is observed that the use of fuzzy logic and fuzzy inference mechanism handles uncertainty and also resembles human decision making. The system can be used in the absence of a clinical expert to assist junior doctors and clinicians in clinical decision making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=normalization" title=" normalization"> normalization</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20rule" title=" fuzzy rule"> fuzzy rule</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/31212/decision-making-system-for-clinical-datasets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31212.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">517</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27772</span> Decision Support System Based On GIS and MCDM to Identify Land Suitability for Agriculture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Mendas">Abdelkader Mendas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The integration of MultiCriteria Decision Making (MCDM) approaches in a Geographical Information System (GIS) provides a powerful spatial decision support system which offers the opportunity to efficiently produce the land suitability maps for agriculture. Indeed, GIS is a powerful tool for analyzing spatial data and establishing a process for decision support. Because of their spatial aggregation functions, MCDM methods can facilitate decision making in situations where several solutions are available, various criteria have to be taken into account and decision-makers are in conflict. The parameters and the classification system used in this work are inspired from the FAO (Food and Agriculture Organization) approach dedicated to a sustainable agriculture. A spatial decision support system has been developed for establishing the land suitability map for agriculture. It incorporates the multicriteria analysis method ELECTRE Tri (ELimitation Et Choix Traduisant la REalité) in a GIS within the GIS program package environment. The main purpose of this research is to propose a conceptual and methodological framework for the combination of GIS and multicriteria methods in a single coherent system that takes into account the whole process from the acquisition of spatially referenced data to decision-making. In this context, a spatial decision support system for developing land suitability maps for agriculture has been developed. The algorithm of ELECTRE Tri is incorporated into a GIS environment and added to the other analysis functions of GIS. This approach has been tested on an area in Algeria. A land suitability map for durum wheat has been produced. Through the obtained results, it appears that ELECTRE Tri method, integrated into a GIS, is better suited to the problem of land suitability for agriculture. The coherence of the obtained maps confirms the system effectiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multicriteria%20decision%20analysis" title="multicriteria decision analysis">multicriteria decision analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=geographical%20information%20system" title=" geographical information system"> geographical information system</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20suitability%20for%20agriculture" title=" land suitability for agriculture"> land suitability for agriculture</a> </p> <a href="https://publications.waset.org/abstracts/22022/decision-support-system-based-on-gis-and-mcdm-to-identify-land-suitability-for-agriculture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22022.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">638</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27771</span> Temporal Case-Based Reasoning System for Automatic Parking Complex</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alexander%20P.%20Eremeev">Alexander P. Eremeev</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20E.%20Kurilenko"> Ivan E. Kurilenko</a>, <a href="https://publications.waset.org/abstracts/search?q=Pavel%20R.%20Varshavskiy"> Pavel R. Varshavskiy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the problem of the application of temporal reasoning and case-based reasoning in intelligent decision support systems is considered. The method of case-based reasoning with temporal dependences for the solution of problems of real-time diagnostics and forecasting in intelligent decision support systems is described. This paper demonstrates how the temporal case-based reasoning system can be used in intelligent decision support systems of the car access control. This work was supported by RFBR. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analogous%20reasoning" title="analogous reasoning">analogous reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=case-based%20reasoning" title=" case-based reasoning"> case-based reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20decision%20support%20systems" title=" intelligent decision support systems"> intelligent decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20reasoning" title=" temporal reasoning"> temporal reasoning</a> </p> <a href="https://publications.waset.org/abstracts/21478/temporal-case-based-reasoning-system-for-automatic-parking-complex" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21478.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">529</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27770</span> Conceptualizing Thoughtful Intelligence for Sustainable Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Musarrat%20Jabeen">Musarrat Jabeen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thoughtful intelligence offers a sustainable position to enhance the influence of decision-makers. Thoughtful Intelligence implies the understanding to realize the impact of one&rsquo;s thoughts, words and actions on the survival, dignity and development of the individuals, groups and nations. Thoughtful intelligence has received minimal consideration in the area of Decision Support Systems, with an end goal to evaluate the quantity of knowledge and its viability. This pattern degraded the imbibed contribution of thoughtful intelligence required for sustainable decision making. Given the concern, this paper concentrates on the question: How to present a model of Thoughtful Decision Support System (TDSS)? The aim of this paper is to appreciate the concepts of thoughtful intelligence and insinuate a Decision Support System based on thoughtful intelligence. Thoughtful intelligence includes three dynamic competencies: i) Realization about long term impacts of decisions that are made in a specific time and space, ii) A great sense of taking actions, iii) Intense interconnectivity with people and nature and; seven associate competencies, of Righteousness, Purposefulness, Understanding, Contemplation, Sincerity, Mindfulness, and Nurturing. The study utilizes two methods: Focused group discussion to count prevailing Decision Support Systems; 70% results of focus group discussions found six decision support systems and the positive inexistence of thoughtful intelligence among decision support systems regarding sustainable decision making. Delphi focused on defining thoughtful intelligence to model (TDSS). 65% results helped to conceptualize (definition and description) of thoughtful intelligence. TDSS is offered here as an addition in the decision making literature. The clients are top leaders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thoughtful%20intelligence" title="thoughtful intelligence">thoughtful intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20decision%20making" title=" sustainable decision making"> sustainable decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=thoughtful%20decision%20support%20system" title=" thoughtful decision support system "> thoughtful decision support system </a> </p> <a href="https://publications.waset.org/abstracts/114747/conceptualizing-thoughtful-intelligence-for-sustainable-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114747.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">135</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27769</span> Fuzzy Decision Support System for Human-Realistic Overtaking in Railway Traffic Simulations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tom%C3%A1%C5%A1%20Vy%C4%8D%C3%ADtal">Tomáš Vyčítal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a simulation model of a railway system it is important, besides other crucial algorithms, to have correct behaviour of train overtaking in stochastic conditions. This problem is being addressed in many simulation tools focused on railway traffic, however these are not very human-realistic. The goal of this paper is to create a more human-realistic overtaking decision support system for the use in railway traffic simulations. A fuzzy system has been chosen for this task as fuzzy systems are well-suited for human-like decision making. The fuzzy system designed takes into account timetables, train positions, delays and buffer times as inputs and provides an instruction to overtake or not overtake. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision-making%20support" title="decision-making support">decision-making support</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20systems" title=" fuzzy systems"> fuzzy systems</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=railway" title=" railway"> railway</a>, <a href="https://publications.waset.org/abstracts/search?q=transport" title=" transport"> transport</a> </p> <a href="https://publications.waset.org/abstracts/156626/fuzzy-decision-support-system-for-human-realistic-overtaking-in-railway-traffic-simulations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156626.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27768</span> Decision Support System for the Management and Maintenance of Sewer Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Bouamrane">A. Bouamrane</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20T.%20Bouziane"> M. T. Bouziane</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Boutebba"> K. Boutebba</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Djebbar"> Y. Djebbar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to develop a decision support tool to provide solutions to the problems of sewer networks management/maintenance in order to assist the manager to sort sections upon priority of intervention by taking account of the technical, economic, social and environmental standards as well as the managers’ strategy. This solution uses the Analytic Network Process (ANP) developed by Thomas Saaty, coupled with a set of tools for modelling and collecting integrated data from a geographic information system (GIS). It provides to the decision maker a tool adapted to the reality on the ground and effective in usage compared to the means and objectives of the manager. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20support" title="multi-criteria decision support">multi-criteria decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance" title=" maintenance"> maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=Geographic%20Information%20System" title=" Geographic Information System"> Geographic Information System</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a> </p> <a href="https://publications.waset.org/abstracts/21695/decision-support-system-for-the-management-and-maintenance-of-sewer-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21695.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">638</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27767</span> Design of a Pneumonia Ontology for Diagnosis Decision Support System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sabrina%20Azzi">Sabrina Azzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Michal%20Iglewski"> Michal Iglewski</a>, <a href="https://publications.waset.org/abstracts/search?q=V%C3%A9ronique%20Nabelsi"> Véronique Nabelsi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diagnosis error problem is frequent and one of the most important safety problems today. One of the main objectives of our work is to propose an ontological representation that takes into account the diagnostic criteria in order to improve the diagnostic. We choose pneumonia disease since it is one of the frequent diseases affected by diagnosis errors and have harmful effects on patients. To achieve our aim, we use a semi-automated method to integrate diverse knowledge sources that include publically available pneumonia disease guidelines from international repositories, biomedical ontologies and electronic health records. We follow the principles of the Open Biomedical Ontologies (OBO) Foundry. The resulting ontology covers symptoms and signs, all the types of pneumonia, antecedents, pathogens, and diagnostic testing. The first evaluation results show that most of the terms are covered by the ontology. This work is still in progress and represents a first and major step toward a development of a diagnosis decision support system for pneumonia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Clinical%20decision%20support%20system" title="Clinical decision support system">Clinical decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=Diagnostic%20errors" title=" Diagnostic errors"> Diagnostic errors</a>, <a href="https://publications.waset.org/abstracts/search?q=Ontology" title=" Ontology"> Ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=Pneumonia" title=" Pneumonia"> Pneumonia</a> </p> <a href="https://publications.waset.org/abstracts/88337/design-of-a-pneumonia-ontology-for-diagnosis-decision-support-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88337.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">189</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27766</span> Improving Decision Support for Organ Transplant</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ian%20McCulloh">Ian McCulloh</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Placona"> Andrew Placona</a>, <a href="https://publications.waset.org/abstracts/search?q=Darren%20Stewart"> Darren Stewart</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Gause"> Daniel Gause</a>, <a href="https://publications.waset.org/abstracts/search?q=Kevin%20Kiernan"> Kevin Kiernan</a>, <a href="https://publications.waset.org/abstracts/search?q=Morgan%20Stuart"> Morgan Stuart</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Zinner"> Christopher Zinner</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Cartwright"> Laura Cartwright</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An estimated 22-25% of viable deceased donor kidneys are discarded every year in the US, while waitlisted candidates are dying every day. As many as 85% of transplanted organs are refused at least once for a patient that scored higher on the match list. There are hundreds of clinical variables involved in making a clinical transplant decision and there is rarely an ideal match. Decision makers exhibit an optimism bias where they may refuse an organ offer assuming a better match is imminent. We propose a semi-parametric Cox proportional hazard model, augmented by an accelerated failure time model based on patient specific suitable organ supply and demand to estimate a time-to-next-offer. Performance is assessed with Cox-Snell residuals and decision curve analysis, demonstrating improved decision support for up to a 5-year outlook. Providing clinical decision makers with quantitative evidence of likely patient outcomes (e.g., time to next offer and the mortality associated with waiting) may improve decisions and reduce optimism bias, thus reducing discarded organs and matching more patients on the waitlist. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20science" title="decision science">decision science</a>, <a href="https://publications.waset.org/abstracts/search?q=KDPI" title=" KDPI"> KDPI</a>, <a href="https://publications.waset.org/abstracts/search?q=optimism%20bias" title=" optimism bias"> optimism bias</a>, <a href="https://publications.waset.org/abstracts/search?q=organ%20transplant" title=" organ transplant"> organ transplant</a> </p> <a href="https://publications.waset.org/abstracts/160221/improving-decision-support-for-organ-transplant" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160221.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">105</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27765</span> Decision Support for Modularisation: Engineering Construction Case Studies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rolla%20Monib">Rolla Monib</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Ian%20Goodier"> Chris Ian Goodier</a>, <a href="https://publications.waset.org/abstracts/search?q=Alistair%20Gibb"> Alistair Gibb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to investigate decision support strategies in the EC sector to determine the most appropriate degree of modularization. This is achieved through three oil and gas (O&G) and two power plant case studies via semi-structured interviews (n=59 and n=27, respectively), analysis of project documents, and case study-specific semi-structured validation interviews (n=12 and n=8). New terminology to distinguish degrees of modularization is proposed, along with a decision-making support checklist and a diagrammatic decision-making support figure. Results indicate that the EC sub-sectors were substantially more satisfied with the application of component, structural, or traditional modularization compared with system modularization for some types of modules. Key drivers for decisions on the degree of modularization vary across module types. This paper can help the EC sector determine the most suitable degree of modularization via a decision-making support strategy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modularization" title="modularization">modularization</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering%20construction" title=" engineering construction"> engineering construction</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20study" title=" case study"> case study</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title=" decision support"> decision support</a> </p> <a href="https://publications.waset.org/abstracts/170602/decision-support-for-modularisation-engineering-construction-case-studies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170602.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">94</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27764</span> Using Visualization Techniques to Support Common Clinical Tasks in Clinical Documentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonah%20Kenei">Jonah Kenei</a>, <a href="https://publications.waset.org/abstracts/search?q=Elisha%20Opiyo"> Elisha Opiyo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electronic health records, as a repository of patient information, is nowadays the most commonly used technology to record, store and review patient clinical records and perform other clinical tasks. However, the accurate identification and retrieval of relevant information from clinical records is a difficult task due to the unstructured nature of clinical documents, characterized in particular by a lack of clear structure. Therefore, medical practice is facing a challenge thanks to the rapid growth of health information in electronic health records (EHRs), mostly in narrative text form. As a result, it's becoming important to effectively manage the growing amount of data for a single patient. As a result, there is currently a requirement to visualize electronic health records (EHRs) in a way that aids physicians in clinical tasks and medical decision-making. Leveraging text visualization techniques to unstructured clinical narrative texts is a new area of research that aims to provide better information extraction and retrieval to support clinical decision support in scenarios where data generated continues to grow. Clinical datasets in electronic health records (EHR) offer a lot of potential for training accurate statistical models to classify facets of information which can then be used to improve patient care and outcomes. However, in many clinical note datasets, the unstructured nature of clinical texts is a common problem. This paper examines the very issue of getting raw clinical texts and mapping them into meaningful structures that can support healthcare professionals utilizing narrative texts. Our work is the result of a collaborative design process that was aided by empirical data collected through formal usability testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20health%20records" title=" electronic health records"> electronic health records</a>, <a href="https://publications.waset.org/abstracts/search?q=narrative%20texts" title=" narrative texts"> narrative texts</a>, <a href="https://publications.waset.org/abstracts/search?q=visualization" title=" visualization"> visualization</a> </p> <a href="https://publications.waset.org/abstracts/148345/using-visualization-techniques-to-support-common-clinical-tasks-in-clinical-documentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148345.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27763</span> A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gizelle%20K.%20Vianna">Gizelle K. Vianna</a>, <a href="https://publications.waset.org/abstracts/search?q=Gustavo%20S.%20Oliveira"> Gustavo S. Oliveira</a>, <a href="https://publications.waset.org/abstracts/search?q=Gabriel%20V.%20Cunha"> Gabriel V. Cunha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of decision support systems in agriculture may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. In our work, we designed and implemented a decision support system for small tomatoes producers. This work investigates ways to recognize the late blight disease from the analysis of digital images of tomatoes, using a pair of multilayer perceptron neural networks. The networks outputs are used to generate repainted tomato images in which the injuries on the plant are highlighted, and to calculate the damage level of each plant. Those levels are then used to construct a situation map of a farm where a cellular automata simulates the outbreak evolution over the fields. The simulator can test different pesticides actions, helping in the decision on when to start the spraying and in the analysis of losses and gains of each choice of action. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=cellular%20automata" title=" cellular automata"> cellular automata</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a> </p> <a href="https://publications.waset.org/abstracts/63771/a-neuro-automata-decision-support-system-for-the-control-of-late-blight-in-tomato-crops" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63771.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">455</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27762</span> A Multi-criteria Decision Support System for Migrating Legacies into Open Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Almonawer">Nasser Almonawer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Timely reaction to an evolving global business environment and volatile market conditions necessitates system and process flexibility, which in turn demands agile and adaptable architecture and a steady infusion of affordable new technologies. On the contrary, a large number of organizations utilize systems characterized by inflexible and obsolete legacy architectures. To effectively respond to the dynamic contemporary business environments, such architectures must be migrated to robust and modular open architectures. To this end, this paper proposes an integrated decision support system for a seamless migration to open systems. The proposed decision support system (DSS) integrates three well-established quantitative and qualitative decision-making models—namely, the Delphi method, Analytic Hierarchy Process (AHP) and Goal Programming (GP) to (1) assess risks and establish evaluation criteria; (2) formulate migration strategy and rank candidate systems; and (3) allocate resources among the selected systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20systems" title="decision support systems">decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20systems%20architecture" title=" open systems architecture"> open systems architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process%20%28AHP%29" title=" analytic hierarchy process (AHP)"> analytic hierarchy process (AHP)</a>, <a href="https://publications.waset.org/abstracts/search?q=goal%20programming%20%28GP%29" title=" goal programming (GP)"> goal programming (GP)</a>, <a href="https://publications.waset.org/abstracts/search?q=delphi%20method" title=" delphi method"> delphi method</a> </p> <a href="https://publications.waset.org/abstracts/187670/a-multi-criteria-decision-support-system-for-migrating-legacies-into-open-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187670.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">47</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27761</span> Decision Support System for Solving Multi-Objective Routing Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ismail%20El%20Gayar">Ismail El Gayar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ossama%20Ismail"> Ossama Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousri%20El%20Gamal"> Yousri El Gamal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presented a technique to solve one of the transportation problems that faces us in real life which is the Bus Scheduling Problem. Most of the countries using buses in schools, companies and traveling offices as an example to transfer multiple passengers from many places to specific place and vice versa. This transferring process can cost time and money, so we build a decision support system that can solve this problem. In this paper, a genetic algorithm with the shortest path technique is used to generate a competitive solution to other well-known techniques. It also presents a comparison between our solution and other solutions for this problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bus%20scheduling%20problem" title="bus scheduling problem">bus scheduling problem</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=shortest%20path" title=" shortest path"> shortest path</a> </p> <a href="https://publications.waset.org/abstracts/45065/decision-support-system-for-solving-multi-objective-routing-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45065.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">414</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27760</span> Developing a Multiagent-Based Decision Support System for Realtime Multi-Risk Disaster Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Moser">D. Moser</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Pinto"> D. Pinto</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Cipriano"> A. Cipriano </a> </p> <p class="card-text"><strong>Abstract:</strong></p> A Disaster Management System (DMS) for countries with different disasters is very important. In the world different disasters like earthquakes, tsunamis, volcanic eruption, fire or other natural or man-made disasters occurs and have an effect on the population. It is also possible that two or more disasters arisen at the same time, this means to handle multi-risk situations. To handle such a situation a Decision Support System (DSS) based on multiagents is a suitable architecture. The most known DMSs deal with one (in the case of an earthquake-tsunami combination with two) disaster and often with one particular disaster. Nevertheless, a DSS helps for a better realtime response. Analyze the existing systems in the literature and expand them for multi-risk disasters to construct a well-organized system is the proposal of our work. The here shown work is an approach of a multi-risk system, which needs an architecture, and well-defined aims. In this moment our study is a kind of case study to analyze the way we have to follow to create our proposed system in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title="decision support system">decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=disaster%20management%20system" title=" disaster management system"> disaster management system</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-risk" title=" multi-risk"> multi-risk</a>, <a href="https://publications.waset.org/abstracts/search?q=multiagent%20system" title=" multiagent system"> multiagent system</a> </p> <a href="https://publications.waset.org/abstracts/26119/developing-a-multiagent-based-decision-support-system-for-realtime-multi-risk-disaster-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26119.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">431</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27759</span> Youth Intelligent Personal Decision Aid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norfiza%20Ibrahim">Norfiza Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Norshuhada%20Shiratuddin"> Norshuhada Shiratuddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Siti%20Mahfuzah%20Sarif"> Siti Mahfuzah Sarif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision-making system is used to facilitate people in making the right choice for their important daily activities. For the youth, proper guidance in making important decisions is needed. Their skills in decision-making aid decisions will indirectly affect their future. For that reason, this study focuses on the intelligent aspects in the development of intelligent decision support application. The aid apparently integrates Personality Traits (PT) and Multiple Intelligence (MI) data in development of a computerized personal decision aid for youth named as Youth Personal Decision Aid (Youth PDA). This study is concerned with the aid’s helpfulness based on the hybrid intelligent process. There are four main items involved which are reliability, decision making effort, confidence, as well as decision process awareness. Survey method was applied to the actual user of this system, namely the school and the Institute of Higher Education (IPT)’s students. An establish instrument was used to evaluate the study. The results of the analysis and findings in the assessment indicates a high mean value of the four dimensions in helping Youth PDA to be accepted as a useful tool for the youth in decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title="decision support">decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20intelligent" title=" multiple intelligent"> multiple intelligent</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20traits" title=" personality traits"> personality traits</a>, <a href="https://publications.waset.org/abstracts/search?q=youth%20personal%20decision%20aid" title=" youth personal decision aid"> youth personal decision aid</a> </p> <a href="https://publications.waset.org/abstracts/18779/youth-intelligent-personal-decision-aid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18779.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">632</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27758</span> An Intelligent Decision Support System Approach for New Product Development by Using QFD and Its Application in Metal Plating Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ufuk%20Cebeci">Ufuk Cebeci</a>, <a href="https://publications.waset.org/abstracts/search?q=Onur%20Do%C4%9Fan"> Onur Doğan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> New product becomes critical in competitive environment shortening a product's lifecycle due to the rapidly changing technology and increasing consumer requirements. Quality Function Deployment is one of the first steps of NPD process. The study presents an intelligent QFD application in metal plating industry. For application, an intelligent decision support system was developed. By intelligent system, house of quality was drawn and some calculations were shown. According to the results, some recommendations are given to end user. One of the purposes of this system is to give some advices to firms which do not know technical details of QFD and guide them about first steps of the new product development process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intelligent%20decision%20support%20systems" title="intelligent decision support systems">intelligent decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=metal%20plating" title=" metal plating"> metal plating</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20function%20deployment" title=" quality function deployment"> quality function deployment</a>, <a href="https://publications.waset.org/abstracts/search?q=QFD%20software" title=" QFD software"> QFD software</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20product%20development" title=" new product development"> new product development</a> </p> <a href="https://publications.waset.org/abstracts/2697/an-intelligent-decision-support-system-approach-for-new-product-development-by-using-qfd-and-its-application-in-metal-plating-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2697.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">398</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27757</span> Intelligent Decision Support for Wind Park Operation: Machine-Learning Based Detection and Diagnosis of Anomalous Operating States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Angela%20Meyer">Angela Meyer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The operation and maintenance cost for wind parks make up a major fraction of the park’s overall lifetime cost. To minimize the cost and risk involved, an optimal operation and maintenance strategy requires continuous monitoring and analysis. In order to facilitate this, we present a decision support system that automatically scans the stream of telemetry sensor data generated from the turbines. By learning decision boundaries and normal reference operating states using machine learning algorithms, the decision support system can detect anomalous operating behavior in individual wind turbines and diagnose the involved turbine sub-systems. Operating personal can be alerted if a normal operating state boundary is exceeded. The presented decision support system and method are applicable for any turbine type and manufacturer providing telemetry data of the turbine operating state. We demonstrate the successful detection and diagnosis of anomalous operating states in a case study at a German onshore wind park comprised of Vestas V112 turbines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anomaly%20detection" title="anomaly detection">anomaly detection</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title=" decision support"> decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20optimization" title=" performance optimization"> performance optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbines" title=" wind turbines "> wind turbines </a> </p> <a href="https://publications.waset.org/abstracts/118859/intelligent-decision-support-for-wind-park-operation-machine-learning-based-detection-and-diagnosis-of-anomalous-operating-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118859.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27756</span> The Role of Marketing Information System on Decision-Making: An Applied Study on Algeria Telecoms Mobile &quot;MOBILIS&quot;</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benlakhdar%20Mohamed%20Larbi">Benlakhdar Mohamed Larbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yagoub%20Asma"> Yagoub Asma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: This study aims at highlighting the significance and importance of utilizing marketing information system (MKIS) on decision-making, by clarifying the need for quick and efficient decision-making due to time saving and preventing of duplication of work. Design, methodology, approach: The study shows the roles of each part of MKIS for developing marketing strategy, which present a real challenge to individuals and institutions in an era characterized by uncertainty and clarifying the importance of each part separately, depending on decision type and the nature of the situation. The empirical research method was evaluated by specialized experts, conducted by means of questionnaires. Correlation analysis was employed to test the validity of the procedure. Results: The empirical study findings confirmed positive relationships between the level of utilizing and adopting ‘decision support system and marketing intelligence’ and the success of an organizational decision-making, and provide the organization with a competitive advantage as it allows the organization to solve problems. Originality/value: The study offer better understanding of performance- increasing market share as an organizational decision making based on marketing information system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=database" title="database">database</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20research" title=" marketing research"> marketing research</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20intelligence" title=" marketing intelligence"> marketing intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making "> decision-making </a> </p> <a href="https://publications.waset.org/abstracts/34180/the-role-of-marketing-information-system-on-decision-making-an-applied-study-on-algeria-telecoms-mobile-mobilis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34180.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">330</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27755</span> Decision Support System for a Pilot Flash Flood Early Warning System in Central Chile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Pinto">D. Pinto</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Castro"> L. Castro</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20L.%20Cruzat"> M. L. Cruzat</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Barros"> S. Barros</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Giron%C3%A1s"> J. Gironás</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Oberli"> C. Oberli</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Torres"> M. Torres</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Escauriaza"> C. Escauriaza</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Cipriano"> A. Cipriano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Flash floods, together with landslides, are a common natural threat for people living in mountainous regions and foothills. One way to deal with this constant menace is the use of Early Warning Systems, which have become a very important mitigation strategy for natural disasters. In this work, we present our proposal for a pilot Flash Flood Early Warning System for Santiago, Chile, the first stage of a more ambitious project that in a future stage shall also include early warning of landslides. To give a context for our approach, we first analyze three existing Flash Flood Early Warning Systems, focusing on their general architectures. We then present our proposed system, with main focus on the decision support system, a system that integrates empirical models and fuzzy expert systems to achieve reliable risk estimations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20systems" title="decision support systems">decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20warning%20systems" title=" early warning systems"> early warning systems</a>, <a href="https://publications.waset.org/abstracts/search?q=flash%20flood" title=" flash flood"> flash flood</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20hazard" title=" natural hazard"> natural hazard</a> </p> <a href="https://publications.waset.org/abstracts/26122/decision-support-system-for-a-pilot-flash-flood-early-warning-system-in-central-chile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26122.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27754</span> Employing Operations Research at Universities to Build Management Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdallah%20A.%20Hlayel">Abdallah A. Hlayel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Operations research science (OR) deals with good success in developing and applying scientific methods for problem solving and decision-making. However, by using OR techniques, we can enhance the use of computer decision support systems to achieve optimal management for institutions. OR applies comprehensive analysis including all factors that affect on it and builds mathematical modeling to solve business or organizational problems. In addition, it improves decision-making and uses available resources efficiently. The adoption of OR by universities would definitely contributes to the development and enhancement of the performance of OR techniques. This paper provides an understanding of the structures, approaches and models of OR in problem solving and decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=best%20candidates%27%20method" title="best candidates&#039; method">best candidates&#039; method</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=operations%20research" title=" operations research"> operations research</a> </p> <a href="https://publications.waset.org/abstracts/20107/employing-operations-research-at-universities-to-build-management-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20107.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">445</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27753</span> Power Control in Solar Battery Charging Station Using Fuzzy Decision Support System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Krishnan%20Manickavasagam">Krishnan Manickavasagam</a>, <a href="https://publications.waset.org/abstracts/search?q=Manikandan%20Shanmugam"> Manikandan Shanmugam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Clean and abundant renewable energy sources (RES) such as solar energy is seen as the best solution to replace conventional energy source. Unpredictable power generation is a major issue in the penetration of solar energy, as power generated is governed by the irradiance received. Controlling the power generated from solar PV (SPV) panels to battery and load is a challenging task. In this paper, power flow control from SPV to load and energy storage device (ESD) is controlled by a fuzzy decision support system (FDSS) on the availability of solar irradiation. The results show that FDSS implemented with the energy management system (EMS) is capable of managing power within the area, and if excess power is available, then shared with the neighboring area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy%20sources" title="renewable energy sources">renewable energy sources</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20decision%20support%20system" title=" fuzzy decision support system"> fuzzy decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20photovoltaic" title=" solar photovoltaic"> solar photovoltaic</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20storage%20device" title=" energy storage device"> energy storage device</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20management%20system" title=" energy management system"> energy management system</a> </p> <a href="https://publications.waset.org/abstracts/157994/power-control-in-solar-battery-charging-station-using-fuzzy-decision-support-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157994.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Clinical%20decision%20support%20system&amp;page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Clinical%20decision%20support%20system&amp;page=3">3</a></li> <li class="page-item"><a class="page-link" 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