Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.
- DOI
- 10.1136/bmjhci-2025-101761
- Published
- 2026 Feb 27
- Container
- BMJ health & care informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1136/bmjhci-2025-101761,
title = {Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.},
author = {Wylezinski LS and Gray JD and Spurlock CF 3rd},
year = {2026},
journal = {BMJ health \& care informatics},
doi = {10.1136/bmjhci-2025-101761},
url = {https://doi.org/10.1136/bmjhci-2025-101761}
}RIS
TY - JOUR TI - Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims. AU - Wylezinski LS AU - Gray JD AU - Spurlock CF 3rd PY - 2026 JO - BMJ health & care informatics DO - 10.1136/bmjhci-2025-101761 UR - https://doi.org/10.1136/bmjhci-2025-101761 ER -
APA
LS, W., JD, G., & 3rd, S. C. (2026). Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.. BMJ health & care informatics. https://doi.org/10.1136/bmjhci-2025-101761
Source records
- pubmed · retrieved 2026-09-26T13:34:58.289Z