Development and temporal validation of an interpretable XGBoost model for predicting cardiovascular death in patients with diabetic foot
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Patients with diabetic foot (DF) have a high risk of cardiovascular (CV) death, yet dedicated risk-prediction tools for this population are lacking. We developed and temporally validated an interpretable machine learning (ML) model for predicting CV death in p... ...
