Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization

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dc.contributor.authorBabaoglu, Ismail
dc.contributor.authorBaykan, Omer Kaan
dc.contributor.authorAygul, Nazif
dc.contributor.authorOzdemir, Kurtulus
dc.contributor.authorBayrak, Mehmet
dc.date.accessioned2020-03-26T17:37:55Z
dc.date.available2020-03-26T17:37:55Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to show the artificial neural network (ANN) on determination of coronary artery disease existence and localization of lesion based upon exercise stress testing (EST) data. EST and coronary angiography were performed on 330 patients. The data studied acquiring 27 verifying features was normalized employing z-score method. To select training and test data, 10-fold cross-validation methods were involved and multi-layered perceptron neural network was employed for the classification. The interpretation of EST using ANN proved 91%, 73% and 65% diagnostic accuracy for the left main coronary (LMCA), left anterior descending and left circum-flex coronary arteries, respectively. Besides, 69% for the right coronary artery is also predicted. For the LMCA, a 94% negative predictive value (NPV) was obtained. This high percentage of NPV encourages the elimination of LMCA lesions. Some knowledge call also be obtained about lesion localization, besides diagnosing of coronary artery disease by the assessment of EST via ANN. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2007.11.013en_US
dc.identifier.endpage2566en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2562en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2007.11.013
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23300
dc.identifier.volume36en_US
dc.identifier.wosWOS:000262178000154en_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.subjectArtificial neural networksen_US
dc.subjectExercise stress testingen_US
dc.subjectCoronary artery diseaseen_US
dc.titleAssessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localizationen_US
dc.typeArticleen_US

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