Prolonged hospital length of stay in pediatric trauma: a model for targeted interventions.

CONCLUSIONS: The high performance of the machine learning model coupled with statistical inference from the mixed effects model provide an opportunity for targeted interventions to improve quality of care of trauma patients likely to require long length of stay. IMPACT: Targeted interventions on high-risk patients would improve the quality of care of pediatric trauma patients and reduce the length of stay. This comprehensive study includes data from multiple hospitals analyzed with advanced statistical and machine learning models. The statistical and machine learning models provide opportunities for targeted interventions and reduction in prolonged length of stay reducing the burden of hospitalization on families. PMID: 33184499 [PubMed - as supplied by publisher]
Source: Pediatric Research - Category: Pediatrics Authors: Tags: Pediatr Res Source Type: research