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Oropharyngeal cancer patient stratification using random forest based-learning over high-dimensional radiomic features

To improve risk prediction for oropharyngeal cancer (OPC) patients using cluster analysis on the radiomic features extracted from pre-treatment Computed Tomography (CT) scans. 553 OPC Patients randomly split into training (80%) and validation (20%), were classified into 2 or 3 risk groups by applyin...

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Detalles Bibliográficos
Autores principales:	Patel, Harsh, Vock, David M., Marai, G. Elisabeta, Fuller, Clifton D., Mohamed, Abdallah S. R., Canahuate, Guadalupe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263609/ https://www.ncbi.nlm.nih.gov/pubmed/34234160 http://dx.doi.org/10.1038/s41598-021-92072-8

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