Machine Learning for Lymph Node Metastasis Prediction in Early Gastric Cancer: A Comparative Analysis
The machine learning model holds the potential to guide more effective treatment strategies for early gastric cancer (EGC), specifically in addressing lymph node metastasis (LNM). The identified risk factors contribute valuable insights for personalized decision-making in the management of EGC patients.
Authors
- Guoliang Xu (ORCID: https://orcid.org/0000-0002-8882-2636)
- Xudong Gao (ORCID: https://orcid.org/0000-0001-6623-1475)
- YingBo Chen
- Minghui Yang
- Chao Ma
- Kunhao Bai
- Rong Zhang
- Yufan Chen
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- International Journal of Medical Sciences
- Published
- 2026-02-11
- DOI
- https://doi.org/10.7150/ijms.124229
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province