Yenidoğan kuzularda bilgisayar destekli tanı

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dc.authorid0000-0001-7958-7251
dc.authorwosidCihan, Pınar/ABA-3520-2020
dc.contributor.authorCihan, Pınar
dc.contributor.authorKalipsiz, Oya
dc.contributor.authorGökçe, Erhan
dc.date.accessioned2022-05-11T14:15:57Z
dc.date.available2022-05-11T14:15:57Z
dc.date.issued2020
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractIn our country, the number of small ruminant animals is decreasing day by day due to various reasons. In parallel with the decrease in the number of small ruminants, significant decreases are seen in animal production. One way to prevent the reduction in the number of small ruminants is to be able to make successful predictions and analysis related to the diagnosis. Thanks to computer-aided diagnostic studies performed with machine learning, the quality of health services increases while the costs of the health sector decrease. The aim of this study is to perform computer aided diagnosis in neonatal lambs using machine learning methods. Hence in study, decision tree, naive bayes, k-nearest neighbors, artificial neural networks and random forest methods were used. The performances of these classification methods were analyzed with accuracy, balanced accuracy, specifity, recall, F-measure, kappa and area under the ROC curve (AUC) criteria. As a result of the study, the Naive bayes method more successful results than other methods for computer aided diagnosis produced. It is very important that, the Naive bayes method is simple and easy to apply, achieves more successful results than other complex methods.
dc.identifier.doi10.5505/pajes.2019.51447
dc.identifier.endpage391
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue2en_US
dc.identifier.startpage385
dc.identifier.urihttps://doi.org/10.5505/pajes.2019.51447
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6131
dc.identifier.volume26
dc.identifier.wosWOS:000523686500014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorCihan, Pınar
dc.language.isotr
dc.publisherPamukkale Univ
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputer-aided diagnosis
dc.subjectClassification
dc.subjectNaive bayes
dc.subjectSmall ruminant animal
dc.titleYenidoğan kuzularda bilgisayar destekli tanı
dc.title.alternativeComputer-aided diagnosis in neonatal lambs
dc.typeArticle

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