A new intelligent classifier for breast cancer diagnosis based on a rough set and extreme learning machine: RS plus ELM

Basit Öğe Kaydı
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:33:57Z
dc.date.available2024-12-24T19:33:57Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description.abstractBreast cancer is one of the leading causes of death among women all around the world. Therefore, true and early diagnosis of breast cancer is an important problem. The rough set (RS) and extreme learning machine (ELM) methods were used collectively in this study for the diagnosis of breast cancer. The unnecessary attributes were discarded from the dataset by means of the RS approach. The classification process by means of ELM was performed using the remaining attributes. The Wisconsin Breast Cancer dataset (WBCD), derived from the University of California Irvine machine learning database, was used for the purpose of testing the proposed hybrid model and the success rate of the RS + ELM model was determined as 100%. Moreover, the most appropriate attributes for the diagnosis of breast cancer were determined from the WBCD in this study. It is considered that the proposed method will be useful in similar medical practices.
dc.identifier.doi10.3906/elk-1203-119
dc.identifier.endpage2091
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.scopus2-s2.0-84889574732
dc.identifier.scopusqualityQ2
dc.identifier.startpage2079
dc.identifier.urihttps://doi.org/10.3906/elk-1203-119
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8344
dc.identifier.volume21
dc.identifier.wosWOS:000326161300019
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTubitak Scientific & Technological Research Council Turkey
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectBreast cancer
dc.subjectrough set
dc.subjectextreme learning machine
dc.subjectexpert system
dc.subjectartificial intelligence
dc.titleA new intelligent classifier for breast cancer diagnosis based on a rough set and extreme learning machine: RS plus ELM
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu