Identifying high-risk patients having ERCP as a day surgery with an online prediction platform: Multicohort validation of a machine learning model
The results indicate that the proposed LR model, utilizing the top seven risk factors, could serve as an effective tool for predicting occurrence of complications in day surgery.
Authors
- Yanyan Lin (ORCID: https://orcid.org/0009-0004-3472-6990)
- Yuhu Ma
- Xiaoliang Zhu (ORCID: https://orcid.org/0000-0002-8493-1931)
- Kecheng Jin (ORCID: https://orcid.org/0009-0006-7330-2087)
- Yi Wang (ORCID: https://orcid.org/0009-0005-8014-7129)
- Xun Li (ORCID: https://orcid.org/0000-0001-6962-6157)
- Zhen Liu (ORCID: https://orcid.org/0000-0001-8762-0664)
- Shuyan Li (ORCID: https://orcid.org/0000-0003-1698-9485)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-2078-4215)
- Xu Zhang (ORCID: https://orcid.org/0000-0003-0474-5846)
- Wangping He
- Chunlu Dong
- Jinqiu Yuan
- Wenbo Meng (ORCID: https://orcid.org/0000-0003-2900-7671)
- Jinyu Zhao
- Boru Jin
- Kexiang Zhu (ORCID: https://orcid.org/0000-0002-7041-6066)
- Ping Yue (ORCID: https://orcid.org/0000-0001-8736-949X)
- Ruyang Zhong
Institutions
- Sun Yat-sen University (CN)
- Xuzhou Medical College (CN)
- Yangon University of Economics (MM)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- Gansu Provincial Hospital (CN)
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Endoscopy International Open
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1055/a-2733-1387
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Gansu Province
- National Key Research and Development Program of China