Multi-Label Classification of Adverse Drug Reactions Using a Hybrid Approach Integrating Support Vector Machine, Random Forest and Extreme Gradient Boosting
Background/Objectives: Predicting adverse drug reactions (ADRs) is essential for drug safety, but challenging due to the rarity and diversity of certain clinical manifestations. This study aims to enhance multi-label ADR detection by introducing and evaluating biologically inspired strategies, specifically Balanced Thr...