Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility using Random Forests Classifier

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dc.authoridCALIK, Elif/0000-0002-9203-7550
dc.authoridBAYIR, Safak/0000-0003-4719-8088
dc.authoridSEN, BAHA/0000-0003-3577-2548
dc.authoridAKYOL, KEMAL/0000-0002-2272-5243
dc.contributor.authorAkyol, Kemal
dc.contributor.authorCalik, Elif
dc.contributor.authorBayir, Safak
dc.contributor.authorSen, Baha
dc.contributor.authorCavusoglu, Abdullah
dc.date.accessioned2024-09-29T16:00:36Z
dc.date.available2024-09-29T16:00:36Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.descriptionInternational Conference on Soft Computing and Software Engineering (SCSE) -- MAR 05-06, 2015 -- Univ California, Berkeley, CAen_US
dc.description.abstractCardiovascular system diseases are an important health problem. These diseases are very common also responsible for many deaths. With this study, it is aimed to analyze factors that cause Coronary Artery Disease using Random Forests Classifier. According to the analysis, we observed correct classification ratio and performance measure that creates susceptibility to Coronary Artery Disease for each factor. The performance measure results clearly show the impact of demographic characteristics on CAD. Additionally, this study shows that random forests algorithm can be used to the processing and classification of medical data such as CAD. (C) 2015 The Authors. Published by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.procs.2015.08.407
dc.identifier.endpage46en_US
dc.identifier.issn1877-0509
dc.identifier.scopus2-s2.0-84962579508en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage39en_US
dc.identifier.urihttps://doi.org/10.1016/j.procs.2015.08.407
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5226
dc.identifier.volume62en_US
dc.identifier.wosWOS:000364544900011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofProceedings of the 2015 International Conference On Soft Computing and Software Engineering (Scse'15)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClassificationen_US
dc.subjectCoronary Artery Diseaseen_US
dc.subjectRandom Forestsen_US
dc.titleAnalysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility using Random Forests Classifieren_US
dc.typeConference Objecten_US

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