Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients
- DOI
- 10.1016/j.puhe.2026.106294
- Published
- 2026-07
- Container
- Public Health
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.puhe.2026.106294,
title = {Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients},
author = {Zetian Zhou and Hongqin Wang and Yishu He and Yan Gong and Changqing Sun and Juan Wei and Hong Chen},
year = {2026},
journal = {Public Health},
doi = {10.1016/j.puhe.2026.106294},
url = {https://doi.org/10.1016/j.puhe.2026.106294}
}RIS
TY - JOUR TI - Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients AU - Zetian Zhou AU - Hongqin Wang AU - Yishu He AU - Yan Gong AU - Changqing Sun AU - Juan Wei AU - Hong Chen PY - 2026 JO - Public Health DO - 10.1016/j.puhe.2026.106294 UR - https://doi.org/10.1016/j.puhe.2026.106294 ER -
APA
Zhou, Z., Wang, H., He, Y., Gong, Y., Sun, C., Wei, J., & Chen, H. (2026). Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients. Public Health. https://doi.org/10.1016/j.puhe.2026.106294
Source records
- crossref · retrieved 2026-09-25T23:29:59.783Z