Predictive Models for Type 2 Diabetes Mellitus in Han Chinese with Insights into Cross-Population Applicability and Demographic Specific Risk Factors
Our findings offer novel insights into the diagnosis and management of diabetes for the Han Chinese and potentially for broader East Asian populations, highlighting the importance of ethnic and demographic diversity in developing predictive models for early detection and personalized intervention strategies.
Authors
- Djeane Debora Onthoni (ORCID: https://orcid.org/0000-0001-6990-9456)
- Wayne Huey‐Herng Sheu (ORCID: https://orcid.org/0000-0002-8805-8340)
- Hung‐Yi Chiou (ORCID: https://orcid.org/0000-0002-4545-9697)
- Ying‐Erh Chen (ORCID: https://orcid.org/0000-0001-8735-0385)
- Yong‐Sheng Zhuang
- Ren‐Hua Chung (ORCID: https://orcid.org/0000-0002-9835-6333)
- Shao‐Yuan Chuang (ORCID: https://orcid.org/0000-0003-2138-4771)
- G. Li
Institutions
- Tamkang University (TW)
- National Health Research Institutes (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- Diabetes & Metabolism Journal
- Published
- 2025-05-20
- DOI
- https://doi.org/10.4093/dmj.2024.0319
- Citations
- 1
- Primary Topic
- Cardiovascular Health and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Taiwan Biobank
- National Health Research Institutes
- National Science and Technology Council