Fig. 4

SHAP analysis result. A Bar charts that rank the importance of the top 20 significant variables most correlated to in-hospital death in GBDT model. B Impact of each feature on the in-hospital mortality in GBDT model by SHAP values. GBDT Gradient Boosting Decision Tree Machine, SHAP Shapley Additive Explanations, spo2 oxyhemoglobin saturation, HR heart rate, WBC white blood cell, CABG coronary artery bypass grafting, SOFA sequential organ failure assessment, sbp systolic blood pressure, BUN blood urea nitrogen, PTT partial thromboplastin time, ALT alanine aminotransferase, AST aspartate aminotransferase, PT prothrombin time