Sarcopenia prediction model based on machine learning and SHAP values for community-based older adults with cardiovascular disease in China.

Journal: Frontiers in public health
Published Date: May 21, 2025

Abstract

BACKGROUND: Sarcopenia (SP), is recognized as a complication of cardiovascular disease (CVD), but few relevant diagnostic models have been developed. This study aims to establish an interpretable diagnostic model for the occurrence of SP in older adult CVD patients living in Chinese community-dwelling (CD).

Authors

  • Peil Yu
    Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Xinxin Zhang
    School of Electrical Engineering, Yanshan University, Qinhuangdao 066001, China. Electronic address: zhangxinxin0723@163.com.
  • Guoxuan Sun
    Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Ping Zeng
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Chu Zheng
    Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Ke Wang
    China Electric Power Research Institute, Haidian District, Beijing 100192, China. wangke1@epri.sgcc.com.cn.

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