Development of a machine learning-based model for predicting postoperative survival in gastric cancer
A robust and interpretable predictive model integrating advanced data imputation was successfully developed. The deployed tool facilitates individualized prognostic assessment and shows potential for enhancing personalized treatment planning in gastric cancer.
Authors
- Shuai Tao
- Shu-Juan Yu
- Hui-Ling Yuan
- Ju Wu
- Ya-Na Lü
- Dong Liu
Institutions
- Dalian University of Foreign Languages (CN)
- Dalian University (CN)
- Affiliated Zhongshan Hospital of Dalian University (CN)
Publication Details
- Journal
- World Journal of Gastrointestinal Surgery
- Published
- 2026-02-25
- DOI
- https://doi.org/10.4240/wjgs.v18.i2.114951
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00