Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers

Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers

Background: There is no evidence to support surgery or radiotherapy as the best treatment for resectable oropharyngeal cancers with a negative HPV status. Predictive algorithms may help to decide which strategy to choose, but they will only be accepted by caregivers and European authorities if they...

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Bibliographic Details
Main Authors: Paul Giraud, Philippe Giraud, Eliot Nicolas, Pierre Boisselier, Marc Alfonsi, Michel Rives, Etienne Bardet, Valentin Calugaru, Georges Noel, Enrique Chajon, Pascal Pommier, Magali Morelle, Lionel Perrier, Xavier Liem, Anita Burgun, Jean Emmanuel Bibault
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Cancers
Subjects:
oropharyngeal cancer
head and neck
machine learning
XGBoost
radiomics
Online Access:https://www.mdpi.com/2072-6694/13/1/57

Internet

https://www.mdpi.com/2072-6694/13/1/57

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