Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool
The study developed an interpretable and practical machine learning model for predicting bowel preparation adequacy in elderly patients, facilitating early interventions to improve outcomes and reduce resource wastage.
Authors
- Dalong Sun (ORCID: https://orcid.org/0000-0001-5278-4706)
- Xuefeng Lu (ORCID: https://orcid.org/0000-0001-7647-1317)
- Guie Chen
- Chao Wang
- Yuxing Yang
- Wei Jiang (ORCID: https://orcid.org/0000-0003-0904-3990)
- Jianying Liu (ORCID: https://orcid.org/0000-0001-7741-7339)
- Jiali Gong (ORCID: https://orcid.org/0000-0002-3496-8031)
- Ying Yu (ORCID: https://orcid.org/0009-0003-0449-1169)
Institutions
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1080/07853890.2025.2474172
- Citations
- 3
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.14
Funders
- Medical Innovation Project of Fujian Province