Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis

Mahreen Kiran, Ying Xie, Nasreen Anjum, Graham Ball, Barbara Pierscionek, Duncan Russell

Open source

DOI: 10.3389/fdgth.2025.1557467
Published: 2025-03-27
Container: Frontiers in Digital Health
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fdgth.2025.1557467,
  title = {Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis},
  author = {Mahreen Kiran and Ying Xie and Nasreen Anjum and Graham Ball and Barbara Pierscionek and Duncan Russell},
  year = {2025},
  journal = {Frontiers in Digital Health},
  doi = {10.3389/fdgth.2025.1557467},
  url = {https://doi.org/10.3389/fdgth.2025.1557467}
}

RIS

TY  - JOUR
TI  - Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis
AU  - Mahreen Kiran
AU  - Ying Xie
AU  - Nasreen Anjum
AU  - Graham Ball
AU  - Barbara Pierscionek
AU  - Duncan Russell
PY  - 2025
JO  - Frontiers in Digital Health
DO  - 10.3389/fdgth.2025.1557467
UR  - https://doi.org/10.3389/fdgth.2025.1557467
ER  -

APA

Kiran, M., Xie, Y., Anjum, N., Ball, G., Pierscionek, B., & Russell, D. (2025). Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis. Frontiers in Digital Health. https://doi.org/10.3389/fdgth.2025.1557467

Source records

crossref · retrieved 2026-09-26T17:10:14.951Z