Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Abstract

Our study identified prognostic and reliable machine-learning methods for the prediction of overall survival of head and neck cancer patients. Identification of optimal machine-learning methods for radiomics-based prognostic analyses could broaden the scope of radiomics in precision oncology and cancer care.