A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study

A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study

Objective: Biological age (BA) has been accepted as a more accurate proxy of aging than chronological age (CA). This study aimed to use machine learning (ML) algorithms to estimate BA in the Chinese population.Materials and methods: We used data from 9,771 middle-aged and older Chinese adults (≥45 y...

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Autores principales: Xingqi Cao, Guanglai Yang, Xurui Jin, Liu He, Xueqin Li, Zhoutao Zheng, Zuyun Liu, Chenkai Wu
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
biological age
disability
machine learning
mortality
aging measure
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/83f3f22631e046b8bbc22c7c1e1b3663
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