Machine Learning and Deep Learning Algorithms for Breast Cancer Prediction

According to global statistics, breast cancer is one of the most common diseases among women worldwide, accounting for the majority of new cancer cases and cancer-related deaths, making it a significant public health problem in today's society. Many researchers have worked on breast cancer diagnosis and prediction; each technique has a different accuracy rate, which varies depending on the situation, algorithms, and datasets employed. Our primary goal is to compare various existing Deep Learning, Machine Learning, and Data Mining techniques in order to identify the most effective way for supporting enormous datasets with high prediction accuracy and other metrics. The primary goal of this paper is to highlight all previous studies of machine learning algorithms that are being used for breast cancer prediction and attempt to acquire a solid understanding of deep learning.