An approach based on probabilistic neural network for diagnosis of Mesothelioma's disease

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dc.contributor.authorEr, Orhan
dc.contributor.authorTanrikulu, Abdullah Cetin
dc.contributor.authorAbakay, Abdurrahman
dc.contributor.authorTemurtas, Feyzullah
dc.date.accessioned2024-04-24T16:11:07Z
dc.date.available2024-04-24T16:11:07Z
dc.date.issued2012
dc.departmentDicle Üniversitesien_US
dc.description.abstractMalignant mesothelioma (MM) is an aggressive progress tumor that results from mesotel cells and pleura usually incurs. The two important causes, in MM etiologies are known as asbestos and erionite, both mineral fibers. Environmental asbestos exposure and MM are one of the major public health problems of Turkey. In this study, two different probabilistic neural network (PNN) structures were used for MM's disease diagnosis. The PNN results were compared with the results of the multilayer and learning vector quantization neural networks focusing on MM's disease diagnosis and using same database. It was observed the PNN is the best classification with 96.30% accuracy obtained via 3-fold cross-validation. The MM disease dataset were prepared from a faculty of medicine's database using new patient's hospital reports from south east region of Turkey. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.compeleceng.2011.09.001
dc.identifier.endpage81en_US
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84857447530
dc.identifier.scopusqualityQ1
dc.identifier.startpage75en_US
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2011.09.001
dc.identifier.urihttps://hdl.handle.net/11468/15276
dc.identifier.volume38en_US
dc.identifier.wosWOS:000301700700009
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Electrical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword]en_US
dc.titleAn approach based on probabilistic neural network for diagnosis of Mesothelioma's diseaseen_US
dc.titleAn approach based on probabilistic neural network for diagnosis of Mesothelioma's disease
dc.typeArticleen_US

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