A Comparison of Artificial Intelligence Methods on Determining Coronary Artery Disease

Basit Öğe Kaydı
dc.contributor.authorBabaoğlu, İsmail
dc.contributor.authorBaykan, Ömer Kaan
dc.contributor.authorAygül, Nazif
dc.contributor.authorÖzdemir, Kurtuluş
dc.contributor.authorBayrak, Mehmet
dc.date.accessioned2020-03-26T17:46:38Z
dc.date.available2020-03-26T17:46:38Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description4th International Conference on Advances in Information Technology (IAIT) -- NOV 04-05, 2010 -- Bangkok, THAILANDen_US
dc.description.abstractThe aim of this study is to show a comparison of multi-layered perceptron neural network (MLPNN) and support vector machine (SVM) on determination of coronary artery disease existence upon exercise stress testing (EST) data. EST and coronary angiography were performed on 480 patients with acquiring 23 verifying features from each. The robustness of the proposed methods is examined using classification accuracy, k-fold cross-validation method and Cohen's kappa coefficient. The obtained classification accuracies are approximately 78% and 79% for MLPNN and SVM respectively. Both MLPNN and SVM methods are rather satisfactory than human-based method looking to Cohen's kappa coefficients. Besides, SVM is slightly better than MLPNN when looking to the diagnostic accuracy, average of sensitivity and specificity, and also Cohen's kappa coefficient.en_US
dc.description.sponsorshipKing Mongkuts Univ Technol Thonburi, Sch Informat Technolen_US
dc.description.sponsorshipScientific Research Project of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Scientific Research Project of Selcuk University.en_US
dc.identifier.citationBabaoğlu, İ., Baykan, Ö. K., Aygül, N., Özdemir, K., Bayrak, M., (2010). A Comparison of Artificial Intelligence Methods on Determining Coronary Artery Disease. Advances in Information Technology, (114), 18-26.
dc.identifier.endpage26en_US
dc.identifier.isbn978-3-642-16698-3
dc.identifier.issn1865-0929en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage18en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24503
dc.identifier.volume114en_US
dc.identifier.wosWOS:000288365600003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBabaoğlu, İsmail
dc.institutionauthorBaykan, Ömer Kaan
dc.institutionauthorAygül, Nazif
dc.institutionauthorÖzdemir, Kurtuluş
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofAdvances in Information Technologyen_US
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectExercise stress testingen_US
dc.subjectCoronary artery diseaseen_US
dc.subjectSupport vector machineen_US
dc.subjectArtificial neural networks
dc.titleA Comparison of Artificial Intelligence Methods on Determining Coronary Artery Diseaseen_US
dc.typeConference Objecten_US

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