Machine learning-enabled risk prediction of self-neglect among community-dwelling older adults in China.

Journal: Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
PMID:

Abstract

BACKGROUND: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health outcomes of older adults. It is essential to construct a robust and efficient tool for risk prediction which can better detect and prevent self-neglect among older adults.

Authors

  • Teng-Fei Li
    Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei, China.
  • Yuan Xu
    Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China.
  • Jian-Wei Li
    Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
  • Ye-Ke He
    Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei, China.
  • Yu-Ting Liang
    Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei, China.
  • Guo-Qing Jiang
    Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu 225001, China; Department of Hepatobiliary Surgery, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu 225001, China. Electronic address: jgqing2003@hotmail.com.
  • Fen Huang
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
  • Ye-Huan Sun
    Chaohu Hospital, Anhui Medical University, Hefei, China.
  • Qi-Rong Qin
    Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
  • Jie Li
    Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.