AI Model Improves Prediction of Pediatric Asthma Readmissions

A machine learning model, XGBoost, has shown a modest but statistically significant improvement in predicting 180-day readmissions for children hospitalized with asthma. This study utilized a large administrative database from numerous children's hospitals across the United States. The findings suggest that advanced computational methods can enhance risk assessment in pediatric respiratory care.