A Random Forest Model for Post-Treatment Survival Prediction in Patients with Non-Squamous Cell Carcinoma of the Head and Neck

Background: Compared to squamous cell carcinoma, head and neck non-squamous cell carcinoma (HNnSCC) is rarer. Integrated survival prediction tools are lacking. Methods: 4458 patients of HNnSCC were collected from the SEER database. The endpoints were overall survivals (OSs) and disease-specific surv...

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Detalles Bibliográficos
Autores principales: Zhang, Xin, Liu, Guihong, Peng, Xingchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419643/
https://www.ncbi.nlm.nih.gov/pubmed/37568416
http://dx.doi.org/10.3390/jcm12155015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419643/
https://www.ncbi.nlm.nih.gov/pubmed/37568416
http://dx.doi.org/10.3390/jcm12155015

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