The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES.

Journal: BMC public health
PMID: 39856612

Abstract

BACKGROUND: Lifestyle and cardiovascular mortality and all-cause mortality have been exhaustively explored by traditional methods, but the advantages of machine learning (ML) over traditional methods may lead to different or more precise conclusions. The aim of this study was to evaluate the effectiveness of machine learning-based lifestyle factors in predicting cardiovascular and all-cause mortality and compare the results obtained by traditional methods.

Authors

  • Xinghong Guo
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Mingze Ma
    Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China.
  • Lipei Zhao
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Yan Lin
  • Fengyi Fei
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Clifford Silver Tarimo
    College of Public Health, Zhengzhou University, Zhengzhou, China.
  • Saiyi Wang
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Jingyi Zhang
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Xinya Cheng
    Faculty of Arts and Social Sciences, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong.
  • Beizhu Ye
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China. yebeizhu@zzu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals