Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS).

Journal: BMC public health
PMID: 39920658

Abstract

BACKGROUND: Due to the ageing population and evolving lifestyles occurring in China, middle-aged and elderly populations have become high-risk groups for cardiovascular disease (CVD). The aim of this study was to analyse the incidence characteristics of CVD in these populations and develop a prediction model by using data from the China Health and Retirement Longitudinal Study (CHARLS).

Authors

  • Qing Huang
    Department of Environmental Health and Occupational Medicine,West China School of Public Health,Sichuan University,Chengdu 610041,China.
  • Zihao Jiang
    School of Marxism, Shenzhen Polytechnic University, Shenzhen, Guangdong 518055, P.R. China.
  • Bo Shi
    School of Medical Imaging, Bengbu Medical University, No. 2600 Donghai Avenue, Bengbu, Anhui, 233030, China.
  • Jiaxu Meng
    School of Medical Imaging, Bengbu Medical University, No. 2600 Donghai Avenue, Bengbu, Anhui, 233030, China.
  • Li Shu
    School of Public Health, Bengbu Medical University, No. 2600 Donghai Avenue, Bengbu, Anhui, 233030, China.
  • Fuyong Hu
    School of Public Health, Bengbu Medical University, No. 2600 Donghai Avenue, Bengbu, Anhui, 233030, China.
  • Jing Mi
    School of Public Health, Bengbu Medical University, No. 2600 Donghai Avenue, Bengbu, Anhui, 233030, China. mijing@bbmc.edu.cn.

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