Prediction of Cognitive Impairment Risk among Older Adults: A Machine Learning-Based Comparative Study and Model Development.

Journal: Dementia and geriatric cognitive disorders
PMID: 38776891

Abstract

INTRODUCTION: The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention.

Authors

  • Jianwei Li
    School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
  • Jie Li
    Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
  • Huafang Zhu
    Ma'anshan Center for Disease Control and Prevention, Ma'anshan, China.
  • Mengyu Liu
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
  • Tengfei Li
    University of North Carolina, Chapel Hill, NC, USA.
  • Yeke He
    The Department of Health Promotion and Behavioral 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.
  • Fen Huang
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
  • Qirong Qin
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.

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