This research studies a support vector machine (SVM)-based ensemble learning algorithm
for breast cancer diagnosis. Illness diagnosis plays a critical role in designating treatment …

Breast cancer (BC) is the second most prevalent type of cancer among women leading to
death, and its rate of mortality is very high. Its effects will be reduced if diagnosed early. BC's …

Nowadays, breast cancer is reported as one of most common cancers amongst women.
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …

Breast cancer (BC) is the largest cause of death in women. Accurate classification of breast
cancer data is important in cancer diagnosis and classification of Malignant and Benign …

Breast cancer is becoming a leading cause of death among women in the whole world,
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …

Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …

This paper presents a new data mining technique for an accurate prediction of breast cancer
(BC), which is one of the major mortality causes among women around the globe. The main …

Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …

Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. Research …

Nowadays, breast cancer is one of the leading causes of women's death in the world. If
breast cancer is detected at the initial stages, it can ensure long-term survival. Numerous …