As much as data science is playing a pivotal role everywhere, health care also finds its
prominent application. Breast Cancer is the top-rated type of cancer amongst women; which …

Objective: Breast cancer is the most common invasive severity which leads to the second
primary cause of death among women. The objective of this paper is to propose a computer …

Breast cancer is among leading reasons for the deaths of women globally. Machine learning
techniques can help to classify breast cancer based on some features. In order to find a …

Cancer is a big issue all around the world. It is a disease, which is fatal in many cases and
has affected the lives of many and will continue to affect the lives of many more. Breast …

Mammography is the most effective and available tool for breast cancer screening. However,
the low positive predictive value of breast biopsy resulting from mammogram interpretation …

Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …

Breast cancer is one of the primary causes of death among the women worldwide, and the
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …

Cancer is caused by the un-controlled division of abnormal cells in a body part. Various
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …

Mammograms are by far one of the most preferred methods of screening for breast cancer.
Early detection of breast cancer can improve survival rates to a greater extent. Although the …

This study evaluates several feature ranking techniques together with some classifiers
based on machine learning to identify relevant factors regarding the probability of …