Application of Machine Learning in Prediction of Breast Cancer
Chenjing Yu · Advances in computer science research · 2024
Breast cancer is a malignant tumor that develops from the cells of breast tissue, typically from the ducts or glands.Artificial Intelligence (AI) technology has become a viable option for the automated detection of breast cancer.The study aims to provide a comprehensive review about the application of various machine learning models, including Logistic Regression, Support Vector Machine (SVM), and Artificial Neural Network (ANN) in predicting breast cancer risk.The discussion showed that deep learning neural networks outperformed other models, demonstrating promising potential in clinical applications.The findings suggest that deep learning neural networks offer superior accuracy in breast cancer prediction, highlighting their significance in healthcare advancements.Key challenges such as model interpretability, data distribution differences, and privacy are addressed, emphasizing the need for transparent models and secure data handling techniques like federated learning in the future studies.This paper can be considered as an effective reference for this field.