Machine learning models for adverse drug reaction prediction. A systematic review and three-level multilevel meta-analysis
Background Adverse drug reactions (ADRs) are a leading cause of preventable hospitalization, yet the dominant pharmacovigilance paradigm remains reactive. Machine learning (ML) offers a data-driven alternative, but the evidence base has not been formally meta-analyzed under clinically realistic inclusion criteria and a...