A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study
Fig 5
Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning methods.
Observation window length is set to 1h, 2h, 3h and 4h, respectively; Pre_n: prediction window with length n hours.