A self-predictive diagnosis system of liver failure based on multilayer neural networks

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dc.contributor.authorDashti, F.
dc.contributor.authorGhaffari, A.
dc.contributor.authorSeyfollahi, A.
dc.contributor.authorArasteh, B.
dc.date.accessioned2024-05-19T14:33:20Z
dc.date.available2024-05-19T14:33:20Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe lack of symptoms in the early stages of liver disease may cause wrong diagnosis of the disease by many doctors and endanger the health of patients. Therefore, earlier and more accurate diagnosis of liver problems is necessary for proper treatment and prevention of serious damage to this vital organ. We attempted to develop an intelligent system to detect liver failure using data mining and artificial neural networks (ANN), this approach considers all factors impacting patient identification and enhances the probability of success in diagnosing liver failure. We employ multilayer perceptron neural networks for diagnosing liver failure via a liver patient dataset (ILDP). The proposed approach using the backpropagation algorithm, improves the diagnosis rate, and predicts liver failure intelligently. The simulation and data analysis outputs revealed that the proposed method has 99.5% accuracy, 99.65% sensitivity, and 99.57% specificity, making it more accurate than Previous related methods. © The Author(s) 2024.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of Türkiye (TÜBİTAK).en_US
dc.identifier.doi10.1007/s11042-024-18945-y
dc.identifier.issn1380-7501
dc.identifier.scopus2-s2.0-85188319581en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s11042-024-18945-y
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4195
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMultimedia Tools and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectAntigenen_US
dc.subjectDiagnosisen_US
dc.subjectHealthcareen_US
dc.subjectLiver Disorderen_US
dc.subjectMultilayer Perceptron Neural Networken_US
dc.titleA self-predictive diagnosis system of liver failure based on multilayer neural networksen_US
dc.typeArticleen_US

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