Andrea Ngohide Abaagu

Machine Learning Techniques for Breast Cancer Prediction in Imbalanced Datasets: A Systematic Review

Background: Class imbalance remains a central methodological obstacle in machine learning (ML)-based breast cancer prediction, where the clinically critical minority class is systematically underrepresented relative to the majority class. A systematic review by Ghavidel and Pazos synthesized ML approaches to this probl...