Machine Learning Techniques for Breast Cancer Diagnosis: Literature Review

Breast cancer is one of major diseases that cause high number of women’s death. To decrease these numbers, early diagnosis is an important task in medical process. Machine learning (ML) technics are an effective way to classify data especially in medical field, where those methods are widely used in diagnosis and decision making. In this paper, we present a review of the most recent publications that employ Machine Learning a pproaches in breast cancer diagnosis. The classification models discussed here are based on various ML techniques applied on different datasets.