Fig. 5
From: Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis
Train set accuracy. In the train set, the Random Forest model was the most frequently applied machine learning model (n = 9), with an accuracy of 0.911 (0.485, 0.991). The accuracy of LR model (n = 6) is 0.796 (0.718,0.857) The accuracy of MEWS model (n = 3) is 0.670 (0.565,0.760) The accuracy of MLP model (n = 3) is 0.774 (0.695,0.818). The accuracy of NB model (n = 2) is 0.792 (0.718,0.851) The accuracy of NN model (n = 4) is 0.769 (0.571,0.893)