Machine learning achieved moderate performance and modestly improved prediction of pediatric asthma readmissions compared with conventional regression using a national administrative database.
Does machine learning improve the prediction of pediatric asthma readmissions compared to conventional regression?
Machine learning models offer modestly improved prediction of pediatric asthma readmissions compared to conventional regression, though further data integration is needed.
Absolute Event Rate: 0% vs 0%
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.
Gabbay et al. (Wed,) reported a other. Machine learning achieved moderate performance and modestly improved prediction of pediatric asthma readmissions compared with conventional regression using a national administrative database.