A Retrospective Cohort Study on 28-Day Mortality in Immunosuppressed Sepsis: An Interpretability-Based Predictive Model Using MIMIC-IV V2.2

The XGBoost model, combined with SHAP analysis, offers an accurate and interpretable tool for predicting 28-day mortality in immunosuppressed sepsis patients. This approach enhances clinical decision-making by providing transparent insights into the factors driving mortality risk, thus supporting personalized and timely interventions aimed at improving patient outcomes.