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

Title
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
Authors
Keywords
Parotid glands, Prognosis, Cancer treatment, Radiation therapy, Finance, Dose prediction methods, Forecasting, Chemotherapy
Journal
PLoS One
Volume 9, Issue 2, Pages e89700
Publisher
Public Library of Science (PLoS)
Online
2014-03-01
DOI
10.1371/journal.pone.0089700

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