A survival classification method for hepatocellular carcinoma patients with chaotic Darcy optimization method based feature selection

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dc.authoriddemir, fahrettin burak/0000-0001-9095-5166
dc.authoridErtam, Fatih/0000-0002-9736-8068
dc.authoridKocamaz, Adnan Fatih/0000-0002-7729-8322
dc.authorwosidTUNCER, Turker/W-4846-2018
dc.authorwosiddemir, fahrettin burak/ABG-1147-2020
dc.authorwosidErtam, Fatih/V-5288-2018
dc.authorwosidTUNCER, Türker/ABG-1146-2020
dc.authorwosidKocamaz, Adnan Fatih/C-2820-2014
dc.contributor.authorDemir, Fahrettin Burak
dc.contributor.authorTuncer, Turker
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorErtam, Fatih
dc.date.accessioned2024-08-04T20:47:08Z
dc.date.available2024-08-04T20:47:08Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractSurvey is one of the crucial data retrieval methods in the literature. However, surveys often contain missing data and redundant features. Therefore, missing feature completion and feature selection have been widely used for knowledge extraction from surveys. We have a hypothesis to solve these two problems. To implement our hypothesis, a classification method is presented. Our proposed method consists of missing feature completion with a statistical moment (average) and feature selection using a novel swarm optimization method. Firstly, an average based supervised feature completion method is applied to Hepatocellular Carcinoma survey (HCC). The used HCC survey consists of 49 features. To select meaningful features, a chaotic Darcy optimization based feature selection method is presented and this method selects 31 most discriminative features of the completed HCC dataset. 0.9879 accuracy rate was obtained by using the proposed chaotic Darcy optimization-based HCC survival classification method.en_US
dc.identifier.doi10.1016/j.mehy.2020.109626
dc.identifier.issn0306-9877
dc.identifier.issn1532-2777
dc.identifier.pmid32087492en_US
dc.identifier.scopus2-s2.0-85079669486en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.mehy.2020.109626
dc.identifier.urihttps://hdl.handle.net/11616/99185
dc.identifier.volume139en_US
dc.identifier.wosWOS:000531083000003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofMedical Hypothesesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChaotic Darcy optimizationen_US
dc.subjectFeature selectionen_US
dc.subjectHCC survival classificationen_US
dc.subjectMissing feature completionen_US
dc.titleA survival classification method for hepatocellular carcinoma patients with chaotic Darcy optimization method based feature selectionen_US
dc.typeArticleen_US

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