E. Enayati
Computer Sciences Department, University of Bojnord, Bojnord, Iran.
[ 1 ] - H-BwoaSvm: A Hybrid Model for Classification and Feature Selection of Mammography Screening Behavior Data
Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation for participating in mammography screening programs. Todays, intelligence systems could...
Co-Authors
M. Moodi 1