Abstract:We propose a sparse Bayesian hierarchical model for the analysis of data including radiomic features for characterization of head and neck squamous cell carcinoma.The proposed model facilitates radiomic feature selection, handling of missing values in key predictors as well as prediction in a unified framework. The fully Bayesian approach enables adequate incorporation of uncertainty arising from various aspects of the inference and prediction procedure. The prediction performance of the model is assessed via … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.