Fig. 2From: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneityPerformance of random forests cutpoints on test data. Performance of a decision rule for each outcome and cohort. The pediatric model is better able to obtain the nominal target of 95% sensitivity for medium/high risk patients along with the desired positive predictive valueBack to article page