Fig. 5From: A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records dataProjected net savings from readmission reduction by using prediction models to select CCCP enrollees. Shows the net savings from readmission reduction, calculated by changing the number of CCCP enrollees along with the classification threshold, using the ROC curves of 10-fold CV of 1) DUNs, 2) maxout networks, 3) logistic regression, and 4) gradient boosting as shown in Fig. 3Back to article page