Prediction of survival in oropharyngeal squamous cell carcinoma using machine learning algorithms: A study based on the surveillance, epidemiology, and end results database

BACKGROUND: We determined appropriate survival prediction machine learning models for patients with oropharyngeal squamous cell carcinoma (OPSCC) using the “Surveillance, Epidemiology, and End Results” (SEER) database. METHODS: In total, 4039 patients diagnosed with OPSCC between 2004 and 2016 were...

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Detalles Bibliográficos
Autores principales: Kim, Su Il, Kang, Jeong Wook, Eun, Young-Gyu, Lee, Young Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441569/
https://www.ncbi.nlm.nih.gov/pubmed/36072804
http://dx.doi.org/10.3389/fonc.2022.974678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441569/
https://www.ncbi.nlm.nih.gov/pubmed/36072804
http://dx.doi.org/10.3389/fonc.2022.974678

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