A new method for diagnosis of cirrhosis disease: Complex-valued artificial neural network

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dc.contributor.authorOzbay, Yuksel
dc.date.accessioned2020-03-26T17:26:20Z
dc.date.available2020-03-26T17:26:20Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, complex-valued artificial neural network (CVANN) that is a new technique for biomedical pattern classification was proposed for classifying portal vein Doppler signals recorded from 54 patients with cirrhosis and 36 healthy subjects. Fast Fourier transform values of Doppler signals were calculated for pre-processing and obtained values, which include real and imaginary components, were used as the inputs of the CVANN for classification of Doppler signals. Classification results of CVANN show that Doppler signals were classified successfully with 100% correct classification rate using leave-one-out cross-validation. Besides, CVANN has 100% sensitivity and 100% specificity. These results were found to be compliant with the expected results that are derived from physician's direct diagnosis. This method would be to assist the physician to make the final decision.en_US
dc.description.sponsorshipSelcuk University'sSelcuk Universityen_US
dc.description.sponsorshipI would like to acknowledge to Prof. Dr. Sadik Kara for his kind contribution in supplying the Doppler signals used in the experiments.; This work is supported by the Coordinatorship of Selcuk University's Scientific Research Projects.en_US
dc.identifier.doi10.1007/s10916-008-9142-zen_US
dc.identifier.endpage377en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issue5en_US
dc.identifier.pmid18814493en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage369en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-008-9142-z
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22163
dc.identifier.volume32en_US
dc.identifier.wosWOS:000258932600002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectliveren_US
dc.subjectcirrhosisen_US
dc.subjectportal veinen_US
dc.subjectdoppler signalsen_US
dc.subjectcomplex-valued artificial neural networken_US
dc.subjectleave-one-out cross-validationen_US
dc.titleA new method for diagnosis of cirrhosis disease: Complex-valued artificial neural networken_US
dc.typeArticleen_US

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