Development of a model for the prediction of biological age.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 24, 2023

Abstract

BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropriate and timely active interventions aimed at improving coping with the aging process. However, the aging process is highly complex and multifactorial. Therefore, it is more scientific to construct a prediction model for biological age from multiple dimensions systematically.

Authors

  • Xiaolin Ni
    The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China.
  • Hanqing Zhao
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
  • Rongqiao Li
    Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning, 530021, PR China.
  • Huabin Su
    Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning, 530021, PR China.
  • Juan Jiao
    Clinical Lab, The Seventh Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100700, China.
  • Ze Yang
    State Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai Entry-Exit Inspection and Quarantine Bureau, Zhuhai 519020, Guangdong, PR China.
  • Yuan Lv
    Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning, 530021, PR China.
  • Guofang Pang
    Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning, 530021, PR China.
  • Meiqi Sun
    College of Traditional Chinese Medicine, Hebei University, Baoding, 071000, PR China.
  • Caiyou Hu
    Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning, 530021, PR China. Electronic address: cyhu.hua@163.com.
  • Huiping Yuan
    The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China. Electronic address: yuanhuiping@126.com.

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