Application of machine learning algorithms to identify risk factors for depression in type 2 diabetes mellitus patients: A Taiwan diabetes registry study.

Journal: Journal of the Chinese Medical Association : JCMA
Published Date: May 30, 2025

Abstract

BACKGROUND: We analyzed variables reported during routine clinical practice using a registrational database to estimate risk factors for depression in people with type 2 diabetes mellitus.

Authors

  • Yu-Wen Su
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, ROC.
  • Wayne Huey-Herng Sheu
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Chii-Min Hwu
    Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Yu-Cheng Chen
  • Jung-Fu Chen
    Department of Endocrinology and Metabolism, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan, ROC.
  • Yun-Shing Peng
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Department of Internal Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan, ROC.
  • Chien-Ning Huang
    Department of Internal Medicine, Division of Endocrinology and Metabolism, Chung Shan Medical University Hospital, Taichung, Taiwan.
  • Yi-Jen Hung
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Harn-Shen Chen
    Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.

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