Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning

Abstract

Machine-learning models to predict POUS risk among adolescents show modest to strong results for different surgeries and reveal variables associated with higher risk. These results may inform health care system-specific identification of patients at higher risk for POUS and drive development of preventative measures.