S. F. Osahie

Boruta-based feature selection and machine learning classifiers for predicting two-year postoperative breast cancer recurrence in a Tanzanian cohort: a comparative evaluation

Aim: Breast cancer recurrence (BCR) remains a major determinant of poor outcomes in low- and middle-income countries (LMICs), where context-specific predictive tools are limited. We aimed to evaluate Boruta-based feature selection for identifying relevant predictors and compare multiple machine learning (ML) classifier...