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

Abstract 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 b...

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Autores principales: Harsh Patel, David M. Vock, G. Elisabeta Marai, Clifton D. Fuller, Abdallah S. R. Mohamed, Guadalupe Canahuate
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7839f9f79de3480ebfb1a1b48ee86d6d
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