Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database

SIMPLE SUMMARY: Formulating accurate survival prediction models of oral and pharyngeal cancers (OPCs) is important, as they might impact the decisions of clinicians and patients. Improving the quality of these clinical prediction modelling studies can benefit the reliability of the developed models...

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Detalles Bibliográficos
Autores principales: Du, Mi, Haag, Dandara G., Lynch, John W., Mittinty, Murthy N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600270/
https://www.ncbi.nlm.nih.gov/pubmed/33003533
http://dx.doi.org/10.3390/cancers12102802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600270/
https://www.ncbi.nlm.nih.gov/pubmed/33003533
http://dx.doi.org/10.3390/cancers12102802

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