Machine learning algorithms for diabetic kidney disease risk predictive model of Chinese patients with type 2 diabetes mellitus
Our study could provide powerful tools for early DKD risk prediction, which might help optimize intervention strategies and improve the renal prognosis in T2DM patients.
Authors
- Ling Sun (ORCID: https://orcid.org/0000-0002-5276-1309)
- Z. L. Hou (ORCID: https://orcid.org/0009-0003-5696-4386)
- Lu‐Xi Zou (ORCID: https://orcid.org/0000-0001-9974-2642)
- Xue Wang (ORCID: https://orcid.org/0000-0002-0423-1952)
- Junfeng Lu (ORCID: https://orcid.org/0000-0003-0558-6816)
Institutions
- Xuzhou Medical College (CN)
- Xuzhou Central Hospital (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1080/0886022x.2025.2486558
- Citations
- 9
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 26.44
Funders
- National Natural Science Foundation of China
- Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province