Prediction model
sepsis
REGRESSION, SEPSIS
Three screened feature variables were used to construct six prediction models of in-hospital mortality of patients with sepsis, including linear regression analysis, LASSO, LR, GNB, SVM, The accuracy of training set and test set were 0.123 and 0.123, 0.123 and 0.130, 0.851 and 0.851, 0.854 and 0.844, 0.862 and 0.862, respectively. Obviously, LR, GNB, SVM show good accuracy.