Using Multivariate Regression Model with Least Absolute Shrinkage and Selection Operator (LASSO) to Predict the Incidence of Xerostomia after Intensity-Modulated Radiotherapy for Head and Neck Cancer

Abstract

Multivariate NTCP models with LASSO can be used to predict patient-rated xerostomia after IMRT.