Interpretable machine learning models to predict survival in esophageal cancer: a study based on the SEER database and external validation in China
The NMTLR prognostic model is the most effective at predicting the OS of esophageal cancer patients. It helps physicians correctly assess patient survival and provides valuable information for diagnosis and prognosis evaluation.
Authors
- Saimaitikari Abudoubari
- Abudouresuli Tuersun
- Pahatijiang Nijiati
- Jianquan Wang (ORCID: https://orcid.org/0000-0003-0504-7169)
- Ya Qiu (ORCID: https://orcid.org/0009-0004-9233-8996)
- Abudoushalamu Abudouwake
- Huerxidan Tuerdi
- Abulizi Maimaitiyiming
Institutions
- Beijing Academy of Artificial Intelligence (CN)
- Okayama Prefecture (JP)
- Zhoukou City Academy of Agricultural Sciences (CN)
- Kashi University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.3389/fphys.2025.1665383
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00