Interactive worksheet
ML-HF Risk Stratifier (Gradient Boosting model)
ML-HF Risk Stratifier — Explanation and Clinical Context The ML-HF Risk Stratifier presented here is a prototype web tool that approximates the behavior of a gradient-boosting model (CatBoost) for predicting a composite 30-day outcome after a heart failure (HF) emergency department visit or hospitalization: HF-related ED visit, HF hospital readmission, or all-cause death. The underlying published work (Fine et al., 2