Machine learning approaches for survival prediction and risk-stratified treatment guidance in synchronous metastatic nasopharyngeal carcinoma: A multicenter study
The RSF model excelled at predicting OS for patients with smNPC, providing reliable prognostic insights to guide risk-based treatment decisions in clinical practice.
Authors
- Ziqing Yang (ORCID: https://orcid.org/0000-0002-0492-0862)
- Zhichao Zuo (ORCID: https://orcid.org/0009-0004-4824-6138)
- Jie Ma (ORCID: https://orcid.org/0000-0002-8999-3832)
- Yang Liu (ORCID: https://orcid.org/0000-0002-9025-4279)
- Dan Long (ORCID: https://orcid.org/0000-0002-4088-7975)
- Xiaoyi Zeng (ORCID: https://orcid.org/0000-0002-4613-1626)
Institutions
- Guangxi Medical University (CN)
- Changsha Medical University (CN)
- The First Hospital of Changsha (CN)
- Xiangyang Central Hospital (CN)
- Wuzhou Red Cross Hospital (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251404515
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00