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Article

Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

European journal of heart failure - 1 Oct 2024

Segar Matthew W, Usman Muhammad Shariq, Patel Kershaw V, Khan Muhammad Shahzeb, Butler Javed, Manjunath Lakshman, Lam Carolyn S P, Verma Subodh, Willett DuWayne, Kao David, Januzzi James L, Pandey Ambarish

Abstract excerpt

AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abnormalities that precede the development of clinical heart failure (HF), is lacking. In this study, we developed and validated a machine learning-based clustering...

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PMID: 39240129
DOI: 10.1002/ejhf.3443

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