The Journal of Cardiovascular Aging
Machine learning model predicting new-onset acute kidney injury in fulminant myocarditis
Aim: To develop and validate a SHapley additive exPlanations (SHAP)-interpretable machine learning (ML) model for predicting new-onset Acute kidney injury (AKI) after coronary care unit (CCU) admission in patients with Fulminant myocarditis (FM). Methods: This retrospective cohort study included 157 consecutive patients with FM admitted to the CCU of Fuwai Central China Cardiovascular Hospital between January 2018 and January 2026. Admission clinical data were used for model development and internal validation. ML …