A Machine-Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

The gradient boosting machines model was the most successful at predicting need for hospitalization at the time of triage in pediatric patients presenting with asthma exacerbation. The addition of weather data significantly improved the performance of this model. This article is protected by copyright. All rights reserved.