A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care

Abstract Aims We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data. Methods We used a sex‐ and age‐matched case–control design. C...

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Bibliographic Details
Main Authors: Per Wändell, Axel C. Carlsson, Julia Eriksson, Caroline Wachtler, Toralph Ruge
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:ESC Heart Failure
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Online Access:https://doi.org/10.1002/ehf2.15115
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