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EHR-AI Heart Failure Onset Predictor

EHR–AI Heart Failure Onset Predictor — Prototype Explanation and Clinical Context This page implements a transparent, explainable prototype risk-index (0–100) that combines common, routinely recorded EHR variables (age, sex, BMI, systolic BP, heart rate, hypertension, diabetes, coronary disease, atrial fibrillation, renal function, smoking and optional natriuretic peptide level). The index is computed as a weighted s

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ESC-AI HF Readmission Prediction Tool

ESC–AI HF Readmission Prediction Tool: Explanation and clinical context This page implements a transparent prototype logistic model intended to estimate the probability of 30-day all-cause hospital readmission after an index heart failure admission, using routinely available discharge features (age, sex, prior admissions, length of stay, LVEF, systolic blood pressure, heart rate, BUN, sodium, and BNP when available).