Machine-learning-based exploration to identify remodeling patterns associated with death or heart-transplant in pediatric-dilated cardiomyopathy

Organization: Elsevier Inc
Journey Stage: (*) Not Part of Journey Stages
Organization Type: Society or Professional Organization
Use Case(s): Clinical Intervention
Country: Spain

We investigated left ventricular (LV) remodeling, mechanics, systolic and diastolic function, combined with clinical characteristics and heart-failure treatment in association to death or heart-transplant (DoT) in pediatric idiopathic, genetic or familial dilated cardiomyopathy (DCM), using interpretable machine-learning.

Key Contact:

Patricia
Garcia-Canadilla
Associated Postdoctoral Researcher at Institut de Recerca Sant Joan de Déu (IRSJD), Barcelona, Spain

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