Machine learning models for predicting new-onset diabetes following acute pancreatitis using real-world data
- DOI
- 10.1136/bmjph-2025-004661
- Published
- 2026-07
- Container
- BMJ Public Health
- Publisher
- BMJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1136/bmjph-2025-004661,
title = {Machine learning models for predicting new-onset diabetes following acute pancreatitis using real-world data},
author = {Djibril M Ba and Alireza Vafaei Sadr and Yue Zhang and Phil A. Hart and Nazia Raja-Khan and Ruizhe Zhou and Ayesha Siddiqui and Tian Qiu and Jennifer Maranki and Vernon M. Chinchilli and Vida Abedi},
year = {2026},
journal = {BMJ Public Health},
doi = {10.1136/bmjph-2025-004661},
url = {https://doi.org/10.1136/bmjph-2025-004661}
}RIS
TY - JOUR TI - Machine learning models for predicting new-onset diabetes following acute pancreatitis using real-world data AU - Djibril M Ba AU - Alireza Vafaei Sadr AU - Yue Zhang AU - Phil A. Hart AU - Nazia Raja-Khan AU - Ruizhe Zhou AU - Ayesha Siddiqui AU - Tian Qiu AU - Jennifer Maranki AU - Vernon M. Chinchilli AU - Vida Abedi PY - 2026 JO - BMJ Public Health DO - 10.1136/bmjph-2025-004661 UR - https://doi.org/10.1136/bmjph-2025-004661 ER -
APA
Ba, D. M., Sadr, A. V., Zhang, Y., Hart, P. A., Raja-Khan, N., Zhou, R., Siddiqui, A., Qiu, T., Maranki, J., Chinchilli, V. M., & Abedi, V. (2026). Machine learning models for predicting new-onset diabetes following acute pancreatitis using real-world data. BMJ Public Health. https://doi.org/10.1136/bmjph-2025-004661
Source records
- crossref · retrieved 2026-09-27T15:09:32.675Z