Evaluating Inflammatory Bowel Disease-Related Quality of Life Using an Interpretable Machine Learning Approach: A Multicenter Study in China
An ML approach for assessing IBD-related QOL impairments is feasible and effective. This mechanism is a promising tool for gastroenterologists to identify IBD patients at high risk of impaired QOL.
Authors
- Jie Shi (ORCID: https://orcid.org/0000-0001-6567-8160)
- Huabing Xie
- Junhai Zhen
- Fei Liao (ORCID: https://orcid.org/0000-0001-7671-6871)
- Weiguo Dong (ORCID: https://orcid.org/0000-0002-4228-6508)
- Zhongchun Liu (ORCID: https://orcid.org/0000-0001-5410-0312)
- Changqing Jiang (ORCID: https://orcid.org/0000-0003-1666-8120)
- Kaichun Wu (ORCID: https://orcid.org/0000-0002-0699-9666)
- Chuan Liu (ORCID: https://orcid.org/0000-0002-5849-8126)
- Jixiang Zhang (ORCID: https://orcid.org/0000-0002-3742-8057)
- Ping An (ORCID: https://orcid.org/0000-0002-0018-2233)
- Cheng Tan
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)
- Air Force Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2024-08-01
- DOI
- https://doi.org/10.2147/jir.s470197
- Citations
- 3
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 1.65
Funders
- Peking University First Hospital
- National Natural Science Foundation of China
- Sun Yat-sen University
- Capital Medical University
- Chinese Academy of Medical Sciences
- Wuhan University
- Peking University
- Peking Union Medical College Hospital
- Peking University Third Hospital
- Tianjin Medical University
- Peking Union Medical College
- Ruijin Hospital
- Renmin Hospital of Wuhan University
- Beijing Friendship Hospital, Capital Medical University