A Review of Machine Learning Techniques for Breast Cancer Prediction

Abstract

Cancer is currently one of the most widespread diseases among humans, both in occurrence and mortality. Cancer care is a growing area of focus for developing interventions to improve the overall quality of life and longevity. Regular physical exercise is widely recognized as a key element of rehabilitation for various chronic conditions, contributing to an improved quality of life and a reduced risk of all-cause mortality. Recent observational studies indicate that moderate physical activity may lower the risk of cancer-related mortality, suggesting that exercise could be an effective approach to enhancing both overall and long-term survival. This research work extensively explores the classification of cancer modalities using machine learning models.