Association of lifestyle with deep learning predicted electrocardiographic age

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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Bibliographic Details
Main Authors: Cuili Zhang, Xiao Miao, Biqi Wang, Robert J. Thomas, Antônio H. Ribeiro, Luisa C. C. Brant, Antonio L. P. Ribeiro, Honghuang Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
biological age
deep learning
lifestyle
epidemiology—analytic (risk factors)
electrocardiogram
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1160091/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1160091/full

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