Explainable machine learning-driven models for predicting Parkinson's disease and its prognosis: obesity patterns associations and models development using NHANES 1999-2018 data.

Journal: Lipids in health and disease
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesity on PD remains controversial. We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine learning (ML)-driven predictive and prognostic models for PD.

Authors

  • Jiaxin Fan
    Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Youyi West Road No. 256, Xi'an, 710068, China.
  • Shuai Cao
    Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China. caoshuai@ustc.edu.cn.
  • Hang Peng
    Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Yuanjie Zhi
    School of Electronic Information, Northwestern Polytechnical University, Xi'an, China.
  • Shuqin Zhan
    Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, West Five Road No. 157, Xi'an, 710004, China. sqzhan@mail.xjtu.edu.cn.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.

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