Development and validation of a machine learning-based diagnostic model for Parkinson's disease in community-dwelling populations: Evidence from the China health and retirement longitudinal study (CHARLS).

Journal: Parkinsonism & related disorders
PMID: 39522387

Abstract

BACKGROUND: Parkinson's disease (PD) is a major neurodegenerative disorder in Middle-aged and elderly people.There is a pressing need for effective predictive models, particularly in chinese population.

Authors

  • Hongyang Fan
    Department of Geriatric Neurology, Northern Jiangsu People's Hospital Affliated to Yangzhou University, 225001, Yangzhou City, Jiangsu Province, China.
  • Sai Li
    Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
  • Xin Guo
    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong.
  • Min Chen
    School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Honggao Zhang
    Department of Geriatric Neurology, Northern Jiangsu People's Hospital Affliated to Yangzhou University, 225001, Yangzhou City, Jiangsu Province, China.
  • Yingzhu Chen
    Department of Geriatric Neurology, Northern Jiangsu People's Hospital Affliated to Yangzhou University, 225001, Yangzhou City, Jiangsu Province, China. Electronic address: yzchendr@163.com.

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