Evaluation of inflammatory bowel disease-related sleep disorders based on an interpretable machine learning approach: a multicenter study in China
The construction of risk assessment models using ML has high clinical value in the prediction of IBD-related sleep disorders, and the efficacy of its application suggests it can serve as a promising evaluation tool in clinical work.
Authors
- Jie Shi (ORCID: https://orcid.org/0000-0001-6567-8160)
- Junhai Zhen
- Kaichun Wu (ORCID: https://orcid.org/0000-0002-0699-9666)
- Chuan Liu (ORCID: https://orcid.org/0000-0002-7711-9785)
- Changqing Jiang (ORCID: https://orcid.org/0000-0002-8616-7527)
- Jiayi Sun (ORCID: https://orcid.org/0009-0009-4904-4534)
- Weiguo Dong
Institutions
- Capital Medical University (CN)
- Wuhan University (CN)
- Beijing Anding Hospital (CN)
- Renmin Hospital of Wuhan University (CN)
- Xijing Hospital (CN)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Therapeutic Advances in Gastroenterology
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1177/17562848251359141
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00