Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.

Journal: Frontiers in public health
Published Date: Jan 27, 2023

Abstract

BACKGROUND: Considering that the previously developed mortality prediction models have limited applications to the Chinese population, a questionnaire-based prediction model is of great importance for its accuracy and convenience in clinical practice.

Authors

  • Ziyi Li
    Emory University, Department of Biostatistics and Bioinformatics, Atlanta, GA 30332, USA.
  • Na Yang
    Department of Ultrasound, Affiliated Hospital of Jilin Medical College, Jilin, China.
  • Liyun He
    Institute of Basic Research in Clinical Medicine/National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No.16 South Street,Dongzhimen,Dongcheng District, Beijing, 100700, China.
  • Jialu Wang
    Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Fan Ping
    Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Lingling Xu
  • Huabing Zhang
    Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yuxiu Li
    Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals