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Machine Learning Models Incorporating Nursing Care Needs to Predict 180-Day Prognosis in Patients With Heart Failure ― Validation With Discrimination and Calibration Analyses ―
0
Zitationen
16
Autoren
2026
Jahr
Abstract
Background: The number of patients with heart failure (HF) is increasing with aging of the population, resulting in a shift in care from hospitals to community settings. Although predicting medium-term prognosis after discharge could improve community-based management and reduce readmissions, no established model has integrated structured multidimensional assessments into HF prognostic modeling.
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