Prediction of Cardiac End-Systolic and End-Diastolic Diameters in M-Mode Values Using Adaptive Neural Fuzzy Inference System

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dc.contributor.authorAkdemir, Bayram
dc.contributor.authorGüneş, Salih
dc.contributor.authorOran, Bülent
dc.contributor.authorKaraaslan, Sevim
dc.date.accessioned2020-03-26T18:04:49Z
dc.date.available2020-03-26T18:04:49Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe cardiac, end-systolic and end-diastolic diameters values are very important m-mode cardiac parameters for infant, children, and adolescents, due to growing up body. These parameters, belonging to heart, must be known in order to make a decision about the subject. The expert decision occurs after comparing measured value to hard-copied charts. Hard-copied charts were prepared previously as a result of long statistical studies and these charts depend on a certain region. Our proposed method presents a valid virtual chart for the experts. The proposed method comprises of two stages: (i) data normalization based on euclidean distance (ii) normalized cardiac parameters predicting using adaptive neural fuzzy system. In order to present performance of the proposed method, mean absolute error, absolute deviation and two-fold cross-validation were used. In addition to performance criteria, different common normalization methods, z-score, decimal scaling and minimum-maximum normalization methods were used to compare. In this study, the aim is to create a valid virtual chart which helps the expert during making the decision about predicting end-systolic and end-diastolic cardiac m-mode values. The results were compared with real cardiac parameters by expert with 10 years of medical experience.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Scientific Research Project of Selcuk University.en_US
dc.identifier.citationAkdemir, B., Güneş, S., Oran, B., Karaaslan, S., (2010). Prediction of Cardiac End-Systolic and End-Diastolic Diameters in M-Mode Values Using Adaptive Neural Fuzzy Inference System. Expert Systems with Applications, (37), 5720-5727. Doi: 10.1016/j.eswa.2010.02.038
dc.identifier.doi10.1016/j.eswa.2010.02.038en_US
dc.identifier.endpage5727en_US
dc.identifier.issn0957-4174en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage5720en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2010.02.038
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25170
dc.identifier.volume37en_US
dc.identifier.wosWOS:000278376100023en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkdemir, Bayram
dc.institutionauthorGüneş, Salih
dc.institutionauthorOran, Bülent
dc.institutionauthorKaraaslan, Sevim
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/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEuclideanen_US
dc.subjectNormalizationen_US
dc.subjectEnd-systolicen_US
dc.subjectEnd-diastolicen_US
dc.subjectM-modeen_US
dc.subjectPredictionen_US
dc.titlePrediction of Cardiac End-Systolic and End-Diastolic Diameters in M-Mode Values Using Adaptive Neural Fuzzy Inference Systemen_US
dc.typeArticleen_US

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