A comparative and interpretable machine learning framework for reliable diabetes risk prediction
- DOI
- 10.1038/s41598-026-61038-z
- Published
- 2026-07-07
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61038-z,
title = {A comparative and interpretable machine learning framework for reliable diabetes risk prediction},
author = {Talha Farooq Khan and Mariyam Saeed and Majid Hussain and Lal Khan and Mohammad Zubair Khan and Adnan nadeem and Turki Alghamdi},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61038-z},
url = {https://doi.org/10.1038/s41598-026-61038-z}
}RIS
TY - JOUR TI - A comparative and interpretable machine learning framework for reliable diabetes risk prediction AU - Talha Farooq Khan AU - Mariyam Saeed AU - Majid Hussain AU - Lal Khan AU - Mohammad Zubair Khan AU - Adnan nadeem AU - Turki Alghamdi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61038-z UR - https://doi.org/10.1038/s41598-026-61038-z ER -
APA
Khan, T. F., Saeed, M., Hussain, M., Khan, L., Khan, M. Z., nadeem, A., & Alghamdi, T. (2026). A comparative and interpretable machine learning framework for reliable diabetes risk prediction. Scientific Reports. https://doi.org/10.1038/s41598-026-61038-z
Source records
- crossref · retrieved 2026-09-26T05:34:14.917Z