This project was a knowledge synthesis with the aim to identify gaps in evidence and improve the understanding of gender differences in adverse drug reactions (ADRs). The following studies were condu
Introduction: Various methods have been implemented to detect adverse drug reaction (ADR) signals. However, the applicability of machine learning methods has not yet been fully evaluated. Objective: T
