Association of lifestyle with deep learning predicted electrocardiographic age

BackgroundPeople age at different rates. Biological age is a risk factor for many chronic diseases independent of chronological age. A good lifestyle is known to improve overall health, but its association with biological age is unclear.MethodsThis study included participants from the UK Biobank who...

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Autores principales:	Cuili Zhang, Xiao Miao, Biqi Wang, Robert J. Thomas, Antônio H. Ribeiro, Luisa C. C. Brant, Antonio L. P. Ribeiro, Honghuang Lin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2023-04-01
Colección:	Frontiers in Cardiovascular Medicine
Materias:	biological age deep learning lifestyle epidemiology—analytic (risk factors) electrocardiogram
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fcvm.2023.1160091/full
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