Advancing Prediction of Antimicrobial Resistance Using Decision Tree-Based Machine Learning Approaches: A Systematic Review
Antimicrobial resistance is a growing global health threat, since it limits the effectiveness of traditional medicines and adds to the burden on health care systems and economies across the globe. Several techniques have been developed for modelling the patterns of data in a range of data sources (e.g. Random Forest, G...