Fig 1.
MIMIC, medical information mart for intensive care; SBP, systolic blood pressure; DBP, diastolic blood pressure; o2sat, oxygen saturation; ICU, intensive care unit; AUC, area under the receiver operating characteristic curve, SHAP, SHapley Additive exPlanations; ESI, Emergency Severity Index.
Table 1.
Baseline analysis of variables and outcomes.
Fig 2.
Visualization of the relationship between variables and outcomes.
A: Heatmap of correlation between continuous variables. B: Restricted cubic spline analysis of the linear relationship between continuous variables and outcomes. C: Bar chart of the relationship between categorical variables and outcomes. ICU, intensive care unit; o2sat, oxygen saturation; SBP, systolic blood pressure; DBP, diastolic blood pressure; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney diseases; CHF, chronic heart failure; CHD, coronary heart disease; GIB, gastrointestinal bleeding.
Fig 3.
AUC values of the nine algorithms under three models.
ESI, Emergency Severity Index; AUC, area under the receiver operating characteristic curve; KNN, k-Nearest Neighbor; SVM, Support Vctor Machine; AdaBoost, Adaptive Boosting.
Table 2.
Performance of four models.
Fig 4.
The performance of the four algorithms.
A: Calibration curves of the four algorithms. B: Decision curve analysis curves of the four algorithms.
Fig 5.
LLR, Logistic Regression; RF, Random forest; GB, Gradient Boosting; sbp, systolic blood pressure; dbp, diastolic blood pressure; o2sat, oxygen saturation; CKD, chronic kidney diseases; CHD, coronary heart disease; CHF, chronic heart failure.