A cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machine

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dc.contributor.authorPolat, Kemal
dc.contributor.authorGuenes, Salih
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T17:26:18Z
dc.date.available2020-03-26T17:26:18Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to diagnosis of diabetes disease, which is one of the most important diseases in medical field using Generalized Discriminant Analysis (GDA) and Least Square Support Vector Machine (LS-SVM). Also, we proposed a new cascade learning system based on Generalized Discriminant Analysis and Least Square Support Vector Machine. The proposed system consists of two stages. The first stage, we have used Generalized Discriminant Analysis to discriminant feature variables between healthy and patient (diabetes) data as pre-processing process. The second stage, we have used LS-SVM in order to classification of diabetes dataset. While LS-SVM obtained 78.21% classification accuracy using 10-fold cross validation, the proposed system called GDA-LS-SVM obtained 82.05% classification accuracy using 10-fold cross validation. The robustness of the proposed system is examined using classification accuracy, k-fold cross-validation method and confusion matrix. The obtained classification accuracy is 82.05% and it is very promising compared to the previously reported classification techniques. (c) 2006 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2006.09.012en_US
dc.identifier.endpage487en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage482en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2006.09.012
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22144
dc.identifier.volume34en_US
dc.identifier.wosWOS:000250295300048en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectgeneralized discriminant analysisen_US
dc.subjectleast square support vector machineen_US
dc.subjectexpert systemsen_US
dc.subjectPima Indians diabetes dataseten_US
dc.titleA cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machineen_US
dc.typeArticleen_US

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