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Machine Learning for Breast Cancer Prediction by 2203a52222 is a document available to read on EtoBox.

This review summarizes research on using machine learning for breast cancer prediction. Several algorithms have been applied, including logistic regression, support vector machines, decision trees, artificial neural networks and deep learning. Key challenges are data imbalance, feature selection and model interpretability. Recent work integrates diverse data types and applies techniques like transfer learning and ensemble methods.

Author

2203a52222

Language

EN