Figure 5
From: Linking gene expression to clinical outcomes in pediatric Crohn’s disease using machine learning
Receiver operating characteristic curves for all models predicting pediatric Crohn’s disease complications based on clinical variables, rectosigmoid involvement, and gene expression RF random forest, XGB gradient boosting, NN neural network, AUROC area under the receiver operating characteristic curve, CI confidence interval.
