A rough set based data model for breast cancer mammographic mass diagnostics

• Main Authors: Africa, Aaron Don M., Cabatuan, Melvin K.
• Format: text
• Published: Animo Repository 2015
• Subjects: Biomedical engineering; Breast—Cancer—Diagnosis; Rough sets; Decision support systems; Biomedical Engineering and Bioengineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2300; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3299/type/native/viewcontent
• Institution: De La Salle University

Breast cancer is the principal cause of cancer deaths among women, and early diagnosis is critical to its survival. Mammography is the recommended diagnostic procedure for ages 40 years and older. However, the low precision rate of mammographic result leads to needless biopsies. Thus, in this paper,...