Importance of attribute selection for parkinson disease

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dc.contributor.authorAkyol, Kemal
dc.contributor.authorBayir, Şafak
dc.contributor.authorŞen, Baha
dc.date.accessioned2024-09-29T16:29:29Z
dc.date.available2024-09-29T16:29:29Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractParkinson disease is a neurological disorder occurring at older ages. It is one of the most painful, dangerous and untreated diseases. In this study, a new application based on assessing the importance of attributes using the ranking techniques was carried out for diagnosis of this disease. The effects of the attributes on the Parkinson disease are determined by utilizing Stability Selection method. The selected attributes dataset and all attributes dataset have been sent as input data to the Random Forest and Logistic Regression algorithms in order to investigate the best model which is to be effective in the diagnosis of this disease. This study including the model which presented the best performance might be a powerful tool for effective diagnosis of this disease.en_US
dc.identifier.doi10.21541/apjes.541637
dc.identifier.endpage180en_US
dc.identifier.issn2147-4575
dc.identifier.issue1en_US
dc.identifier.startpage175en_US
dc.identifier.trdizinid466890en_US
dc.identifier.urihttps://doi.org/10.21541/apjes.541637
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/466890
dc.identifier.urihttps://hdl.handle.net/20.500.14619/10575
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCEen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleImportance of attribute selection for parkinson diseaseen_US
dc.typeArticleen_US

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