Development and Validation of Machine Learning Models for Identifying Prediabetes and Diabetes in Normoglycemia
A well-performed ML model to identify AGM in the normoglycemia population was built, offering significant potential for early intervention and treatment of AGM that would otherwise have been missed.
Authors
- Wenqi Hu (ORCID: https://orcid.org/0000-0002-7934-9429)
- Guang Zhang (ORCID: https://orcid.org/0000-0001-6630-1912)
- Yongsheng Zhang (ORCID: https://orcid.org/0009-0009-0714-3374)
- Xiaodong Zhang (ORCID: https://orcid.org/0000-0002-4635-9372)
- Dawei Wang (ORCID: https://orcid.org/0000-0002-8670-1961)
- Weidong Yao (ORCID: https://orcid.org/0000-0003-0429-4053)
Institutions
- Shandong Provincial QianFoShan Hospital (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Diabetes/Metabolism Research and Reviews
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1002/dmrr.70003
- Citations
- 7
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 4.95
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province