Development and validation of a machine learning model for predicting 3-year overall survival in metastatic nasopharyngeal carcinoma: a SEER database and web visualization study
Our validated RF-based model addresses a critical gap in M1-NPC prognostication, offering clinicians an interpretable tool for survival prediction. While limited by database constraints, this represents the first SEER-derived online calculator for M1-NPC with immediate clinical applicability.
Authors
- Jinling Yuan (ORCID: https://orcid.org/0009-0001-4629-8960)
- Yuchen Zhu (ORCID: https://orcid.org/0000-0001-5148-8569)
- Yinjiao Fei (ORCID: https://orcid.org/0000-0003-3354-4082)
- Weilin Xu (ORCID: https://orcid.org/0000-0001-5476-5541)
- Kexin Shi
- Xuelin Sun (ORCID: https://orcid.org/0000-0002-5483-2887)
- Yuandong Cao
- G. Jiang
- Shu Zhou (ORCID: https://orcid.org/0000-0002-6864-5177)
- Lei Qiu (ORCID: https://orcid.org/0009-0009-5939-3199)
Institutions
- Nanjing Medical University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/tcr-2025-977
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00