Fig. 1From: Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathyOverview of the methods used for data extraction, training, and testing. ICU, intensive care unit; MIMIC, Medical Information Mart for Intensive Care; ML, machine learning; NNET, artificial neural network; NB, naïve bayes; LR, logistic regression; GBM, gradient boosting machine; Ada, adapting boosting; RF, random forest; BT, bagged trees; XGB, eXtreme Gradient BoostingBack to article page