Breast cancer

This review paper explores the evolution of breast cancer prediction methods, starting from traditional diagnostic techniques to advanced modern technologies such as machine learning, deep learning, and artificial intelligence-based models. It highlights the challenges, improvements in accuracy, and the future scope of predictive analytics in the healthcare domain. The study aims to provide an insightful comparison and shed light on how technological advancements are reshaping early breast cancer detection.