Machine learning models based on log odds of positive lymph nodes for predicting survival in T1N+ gastric cancer
Integrating LODDS staging into the RSF model, alongside other clinical features, provides a highly accurate tool for survival prediction in T<sub>1</sub>N<sub>+</sub> GC patients.
Authors
- Jianxin Cui
- Zhen Yuan
- Yuchen Liu
- Bo Wei
- Rui Li
- Jinghang Wang
- Ruonan An
- Hao Cui
Institutions
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
- Chinese General Hospital College of Nursing and Liberal Arts (PH)
- People's Liberation Army No. 150 Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-09
- DOI
- https://doi.org/10.3389/fonc.2025.1642302
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Oxford
- National Natural Science Foundation of China
- National Cancer Institute