Machine learning for the early prediction of 28-day mortality in patients with sepsis in the ICU based on MIMIC-Ⅳ database
A machine learning model based on routinely available clinical data from MIMIC-IV demonstrated moderate discriminatory ability for predicting 28-day mortality in septic patients, with SHAP analysis providing insights into model interpretability.