Machine Learning Based Performance Development for Diagnosis of Breast Cancer
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Breast cancer is prevalent among women and develops from breast tissue. Early diagnosis and accurate treatment is vital to increase the rate of survival. Identification of genetic factors with microarray technology can make significant contributions to diagnosis and treatment process. In this study, several machine learning algorithms are used for Diagnosis of Breast Cancer and their classification performances are compared with each other. In addition, the active genes in breast cancer are identified by attribute selection methods and the conducted study show success rate 90,72 % with 139 feature.
Açıklama
Medical Technologies National Conference (TIPTEKNO) -- OCT 27-29, 2016 -- Antalya, TURKEY
Anahtar Kelimeler
Machine Learning, Breast Cancer Diagnosis, Microarray, Feature Selection
Kaynak
2016 Medical Technologies National Conference (Tiptekno)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
