A new approach based on a discrete hidden Markov model using the Rocchio algorithm for the diagnosis of heart valve diseases

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dc.contributor.authorUguz, Harun
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T17:26:19Z
dc.date.available2020-03-26T17:26:19Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractApplication of the Doppler ultrasound technique in the diagnosis of heart diseases has been increasing in the last decade since it is non-invasive, practicable and reliable. In this study, a new approach based on the discrete hidden Markov model (DHMM) is proposed for the diagnosis of heart valve disorders. For the calculation of hidden Markov model (HMM) parameters according to the maximum likelihood approach, HMM parameters belonging to each class are calculated by using training samples that only belong to their own classes. In order to calculate the parameters of DHMMs, not only training samples of the related class but also training samples of other classes are included in the calculation. Therefore HMM parameters that reflect a class's characteristics are more represented than other class parameters. For this aim, the approach was to use a hybrid method by adapting the Rocchio algorithm. The proposed system was used in the classification of the Doppler signals obtained from aortic and mitral heart valves of 215 subjects. The performance of this classification approach was compared with the classification performances in previous studies which used the same data set and the efficiency of the new approach was tested. The total classification accuracy of the proposed approach (95.12%) is higher than the total accuracy rate of standard DHMM (94.31%), continuous HMM (93.5%) and support vector machine (92.67%) classifiers employed in our previous studies and comparable with the performance levels of classifications using artificial neural networks (95.12%) and fuzzy-C-means/CHMM (95.12%).en_US
dc.description.sponsorshipSelcuk University Scientific Research ProjectsSelcuk Universityen_US
dc.description.sponsorshipThe authors acknowledge support for this study provided by Selcuk University Scientific Research Projects.en_US
dc.identifier.doi10.1111/j.1468-0394.2008.00474.xen_US
dc.identifier.endpage513en_US
dc.identifier.issn0266-4720en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage504en_US
dc.identifier.urihttps://dx.doi.org/10.1111/j.1468-0394.2008.00474.x
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22156
dc.identifier.volume25en_US
dc.identifier.wosWOS:000260256300006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWILEY-BLACKWELLen_US
dc.relation.ispartofEXPERT SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDoppler heart soundsen_US
dc.subjectdiscrete hidden Markov modelen_US
dc.subjectRocchio algorithmen_US
dc.titleA new approach based on a discrete hidden Markov model using the Rocchio algorithm for the diagnosis of heart valve diseasesen_US
dc.typeArticleen_US

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