Figure 1.

SHAP model to estimate important variables with the light gradient boosting model using the 17 variables selected by LASSO. The features are sorted in descending order by Shapley values. BUN, blood urea nitrogen; CAD, coronary artery disease; CRP, C‐reactive protein; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; HTN, hypertension; ICU, intensive care unit; LASSO, least absolute shrinkage and selection operator; RR, respiratory rate; SBP, systolic blood pressure; SHAP, SHapley Additive exPlanations; WBC, white blood cell count