Interpretable machine learning insights into the association between PFAS exposure and diabetes mellitus.

Journal: Ecotoxicology and environmental safety
Published Date: Jun 23, 2025

Abstract

BACKGROUND: Diabetes Mellitus (DM) is a global health concern with rising prevalence, and its link to PFAS exposure remains unclear. No machine learning (ML) models have yet been developed to predict DM based on PFAS exposure.

Authors

  • Cui Wang
    Fintech Innovation Center, Financial Intelligence and Financial Engineering Key Laboratory, Southwestern University of Finance and Economics (SWUFE), Chengdu, 611130, China.
  • Xinping Xu
    Jiangxi Institute of Respiratory Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Shuai Luo
    School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
  • Man Luo
    School of Art and Design, Shanghai University of Engineering Science, Shanghai, 201620, PR. China.
  • Sha Li
    School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 10 Sassoon Road, Pokfulam, Hong Kong, China. u3003781@connect.hku.hk.
  • Jianhong Si
    Huai'an TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangsu, China. Electronic address: 18012088196@163.com.

Keywords

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