Patient 2
This is an elderly patient who was admitted to the ICU for IS. The patient survived on the 28th day. The predicted probability for mortality by the model was 52.0% compared with the baseline of 53.4%. The features detected by the model for predicting mortality were all normal. In Patient 2, all features, except creatinine and AST, did not support the occurrence of the outcome. It was predicted by the ML model that this patient would survive, and it occurred during admission (true negative) (SHapley Additive exPlanations (SHAP) force plot for two patients from the held-out validation set of the machine learning (ML) model.From a physician's perspective, the ICU observation for this IS patient is reasonable, considering the normal values in the ICU.