Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning
- DOI
- 10.1007/s10620-025-09323-1
- Published
- 2025-08-13
- Container
- Digestive Diseases and Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10620-025-09323-1,
title = {Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning},
author = {Matthew Stammers and Stephanie Sartain and J. R. Fraser Cummings and Christopher Kipps and Reza Nouraei and Markus Gwiggner and Cheryl Metcalf and James Batchelor},
year = {2025},
journal = {Digestive Diseases and Sciences},
doi = {10.1007/s10620-025-09323-1},
url = {https://doi.org/10.1007/s10620-025-09323-1}
}RIS
TY - JOUR TI - Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning AU - Matthew Stammers AU - Stephanie Sartain AU - J. R. Fraser Cummings AU - Christopher Kipps AU - Reza Nouraei AU - Markus Gwiggner AU - Cheryl Metcalf AU - James Batchelor PY - 2025 JO - Digestive Diseases and Sciences DO - 10.1007/s10620-025-09323-1 UR - https://doi.org/10.1007/s10620-025-09323-1 ER -
APA
Stammers, M., Sartain, S., Cummings, J. R. F., Kipps, C., Nouraei, R., Gwiggner, M., Metcalf, C., & Batchelor, J. (2025). Identification of Cohorts with Inflammatory Bowel Disease Amidst Fragmented Clinical Databases via Machine Learning. Digestive Diseases and Sciences. https://doi.org/10.1007/s10620-025-09323-1
Source records
- crossref · retrieved 2026-09-25T06:47:09.838Z