Prediction of postoperative nausea and vomiting in patients undergoing sedated gastrointestinal endoscopy based on machine learning
LDA demonstrated superior generalizability and was implemented as a web-based risk prediction tool, enabling real-time PONV assessment and supporting individualized perioperative management.
Authors
- Qinjun Chu (ORCID: https://orcid.org/0009-0008-1188-4151)
- Min Jing (ORCID: https://orcid.org/0000-0001-8547-7024)
- Yulong Ma (ORCID: https://orcid.org/0000-0003-0982-9571)
- Fei Xing (ORCID: https://orcid.org/0000-0002-8468-634X)
- Xiaoyu Li (ORCID: https://orcid.org/0000-0002-9323-5495)
- Xihua Lu (ORCID: https://orcid.org/0000-0001-9033-9363)
- Wei Zhang (ORCID: https://orcid.org/0000-0001-7233-6062)
- Huixin Li (ORCID: https://orcid.org/0000-0002-7067-3492)
- Na Xing (ORCID: https://orcid.org/0000-0003-2712-3222)
- Yanna Li (ORCID: https://orcid.org/0000-0003-4192-6080)
- Yang Zhi-Hu
- Yi Yao (ORCID: https://orcid.org/0000-0001-8101-0347)
Institutions
- Hunan University (CN)
- Chinese PLA General Hospital (CN)
- École Militaire Interarmes (FR)
- Henan Provincial People's Hospital (CN)
- Zhengzhou Central Hospital (CN)
- Henan Cancer Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-12-07
- DOI
- https://doi.org/10.1080/07853890.2025.2570792
- Citations
- 1
- Primary Topic
- Nausea and vomiting management
- Type
- article
- Field-Weighted Citation Impact
- 2.01