Predicting Pediatric Asthma Readmissions Through Machine Learning: Performance With a National Administrative Database

CONCLUSIONS: ML achieved moderate performance with modestly improved prediction compared with conventional regression. Integration of outpatient, pharmacy, and individual-level social data that comprehensively reflects children's health may further enhance the ability of ML to enable PSM approaches.