Machine learning-based prediction of gastroparesis risk following complete mesocolic excision
The XGBoost-fueled predictive model for post-surgery colon cancer patients proved highly effective. It underlined gastroparesis as a significant post-operative issue, associated with advanced age, prolonged surgeries, extensive intraoperative blood loss, surgical techniques, low serum protein levels, anemia, diabetes, and hypothyroidism.
Authors
- Wei Wang (ORCID: https://orcid.org/0000-0003-1005-059X)
- Yuanyuan Jia
- Qing Zhang (ORCID: https://orcid.org/0000-0001-6815-1954)
- Zhanshuo Zhang
- Yan Zhu (ORCID: https://orcid.org/0000-0002-6932-7971)
Institutions
- Xuzhou Medical College (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Huaian First People’s Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Wuxi People's Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1007/s12672-024-01355-9
- Citations
- 2
- Primary Topic
- Gastrointestinal motility and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.93