Development and validation of machine learning models to predict frailty risk for elderly.

Journal: Journal of advanced nursing
PMID: 38605460

Abstract

AIMS: Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.

Authors

  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Junchao Wang
    China-Japan Union Hospital of Jilin University, Changchun, China.
  • Fang Xie
    Shandong Luoxin Pharmaceutical Group Stock Co. Ltd, Linyi, Shandong, China.
  • Xinghui Wang
    School of Nursing, Jilin University, Changchun, China.
  • Shanshan Dong
    Department of Economics in Engineering and Technology College, Hubei University of Technology, Wuhan, Hubei 432200, China.
  • Nan Luo
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
  • Feng Li
    Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Yuewei Li
    Department of Ultrasound Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals