Machine learning improves antimicrobial resistance detection.
problem Insufficient representation of antimicrobial resistance data in the Data-for-Good community.
method Standard ensemble machine learning techniques applied to antimicrobial resistance datasets.
result Classification accuracies of mid-90% to low-80% for AMR detection.