Breast cancer is one of the most common causes of death among women, and early
diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used …

A widespread global health concern among women is the incidence of the second most
leading cause of fatality which is breast cancer. Predicting the occurrence of breast cancer …

Early detection of breast cancer plays a critical role in successful treatment that saves
thousands of lives of patients every year. Despite massive clinical data have been collected …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …

Breast cancer (BC) disease is the most common and rapidly spreading disease across the
globe. This disease can be prevented if identified early, and this eventually reduces the …

Breast cancer is a common and potentially life-threatening disease. Early and accurate
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …

Background Breast cancer is one of the most critical cancers and is a major cause of cancer
death among women. It is essential to know the survivability of the patients in order to ease …

Breast cancer has been identified as one of the most common invasive cancers and the
second leading cause of cancer death among women. The survival rates have, however …

To overcome the two-class imbalanced classification problem existing in the diagnosis of
breast cancer, a hybrid of Random Over Sampling Example, K-means and Support vector …

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 …