Cancer is one of the crucial causes of death for both men and women. All over the world,
breast cancer is one of the leading cause of cancer deaths in women. The most effective …

Abstract Breast Cancer Diagnosis and Prognosis are two medical applications pose a great
challenge to the researchers. The use of machine learning and data mining techniques has …

Breast cancer is one of the most widely spreading diseases and the second leading cause
of cancer death among women.[3]. The survival rate increases on detecting breast cancer …

The purpose of this paper was during the literature review of journals and publications in the
field of data mining in computer science and engineering. The research focused on more …

According to global statistics, breast cancer is the second of all the fatal diseases that cause
death. It will cause an adverse effect when left unnoticed for a long time. However, its early …

Breast cancer is a type of cancer that emerge in breast of a women or a men. mostly women
are affected by breast cancer than men. it is important to know that most breast lumps are …

Accepted: 15/Apr/2019, Published: 30/Apr/2019 Abstract-Breast cancer is second leading
invasive cancer causes death after lung cancer. The accurate diagnosis is a very crucial …

Breast cancer is genetically and clinically heterogeneous disease. An area of interest for
data mining applications is the study of biomedical data which is the combination of image …

Breast Cancer Diagnosis and Prognosis are two medical applications which have posed a
challenge to the researchers. The use of machine learning and data mining techniques has …

The high incidence of breast cancer in women has increased significantly in the recent
years. Mammogram breast X-ray imaging is considered the most effective, low-cost, and …