Breast cancer prediction techniques : A review
Shelly Shiju George, Anjaly Nelson, Bony M Sunny, Jibymol Joseph · Zenodo (CERN European Organization for Nuclear Research) · 2019
Breast cancer is the second leading cause of cancer death among women. The mortality rate due to cancer can be reduced if it can be detected at a relatively early stage. Big data analytics is the process of collecting and organizing large sets of data and analyzing it to find useful information. This paper reviews different algorithms for predicting breast cancer. The review focuses on the various algorithms and datasets used in the prediction.