Figure 5.

Model performance (with 95% CI) for prediction of ARF at t = 12 h on MIMIC-III, evaluated on the held-out test set (n = 2093). On this task, all 4 FIDDLE-based models exhibited similarly good discriminative and calibration performance. (A) ROC curves and AUROC scores. (B) PR curves and AUPR scores. (C) Calibration plots and Brier scores. ARF: acute respiratory failure; AUROC: area under the receiver operating characteristics curve; AUPR: area under the precision-recall curve; CI: confidence interval; CNN: convolutional neural networks; FIDDLE: Flexible Data-Driven Pipeline; LR: logistic regression; LSTM: long short-term memory networks; PR: precision-recall curve; RF: random forest; ROC: receiver operating characteristics curve.