Application of machine learning algorithms to identify risk factors for depression in type 2 diabetes mellitus patients: A Taiwan diabetes registry study
QoL, bloating, and autoimmune disease were the most important factors associated with depression in type 2 diabetes mellitus patients.
Authors
- Chii‐Min Hwu (ORCID: https://orcid.org/0000-0002-8209-9627)
- Yi‐Jen Hung (ORCID: https://orcid.org/0000-0001-5318-9001)
- Wayne Huey‐Herng Sheu (ORCID: https://orcid.org/0000-0002-8805-8340)
- Harn-Shen Chen
- Jung-Fu Chen
- Yun‐Shing Peng
- Chien‐Ning Huang (ORCID: https://orcid.org/0000-0003-4668-7998)
- Yuwen Su (ORCID: https://orcid.org/0000-0001-9918-1830)
- Yu‐Cheng Chen (ORCID: https://orcid.org/0000-0002-0008-5601)
Institutions
- Tri-Service General Hospital (TW)
- National Yang Ming Chiao Tung University (TW)
- National Health Research Institutes (TW)
- National Taiwan University (TW)
- Chang Gung University (TW)
- Taipei Veterans General Hospital (TW)
- Kaohsiung Chang Gung Memorial Hospital (TW)
- Chung Shan Medical University Hospital (TW)
- Chiayi Chang Gung Memorial Hospital (TW)
- Changhua Christian Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- Journal of the Chinese Medical Association
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1097/jcma.0000000000001250
- Primary Topic
- Diabetes Management and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00