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Peer-reviewedCC BYFrontiers in medicine

Machine learning models for identifying prediabetes: a systematic review of performance, validation, and implications for primary care

  • Liang Wang1
  • Yan Zhang1
  • Hao Yang2
  • Xiwei Wang3
  • Xinyuan Qi4
  • Li Gou5
5 affiliations
  1. 1Department of Geriatric Endocrinology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China , ,
  2. 2Department of Medical Affairs, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China , ,
  3. 3Department of Gastroenterology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China , ,
  4. 4School of Medicine, University of Electronic Science and Technology of China , ,
  5. 5Department of Nursing Research Center, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China , ,
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Cite

BibTeXRIS
BibTeX
@article{wang2026machine,
  title = {{Machine learning models for identifying prediabetes: a systematic review of performance, validation, and implications for primary care}},
  author = {Liang Wang and Yan Zhang and Hao Yang and Xiwei Wang and Xinyuan Qi and Li Gou},
  journal = {Frontiers in medicine},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13655083},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Machine learning models for identifying prediabetes: a systematic review of performance, validation, and implications for primary care
AU  - Liang Wang
AU  - Yan Zhang
AU  - Hao Yang
AU  - Xiwei Wang
AU  - Xinyuan Qi
AU  - Li Gou
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in medicine
UR  - https://europepmc.org/article/PMC/PMC13655083
SN  - 2296-858X
ER  -