Article

Interpretable Radiomics Method for Predicting Human Papillomavirus Status in Oropharyngeal Cancer using Bayesian Networks

2022-06-30

Abstract excerpt

<h4>Objectives</h4> To develop a simple interpretable Bayesian Network (BN) to classify HPV status in patients with oropharyngeal cancer. <h4>Methods</h4> Two hundred forty-six patients, 216 of whom were HPV positive, were used in this study. We extracted 851 radiomics markers from patients’ contrast-enhanced Computed Tomography (CT) images. Mens eX Machina (MXM) approach selected two most relevant predictors: sph...

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Literature Corpus work: 65787c20-8040-55ac-97f8-50e269acfa21
DOI: 10.1101/2022.06.29.22276890

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