Neural network and spline-based regression for the prediction of salivary hypofunction in patients undergoing radiation therapy.

Journal: Radiation oncology (London, England)
Published Date:

Abstract

BACKGROUND: This study leverages a large retrospective cohort of head and neck cancer patients in order to develop machine learning models to predict radiation induced hyposalivation from dose-volume histograms of the parotid glands.

Authors

  • Derek K Smith
    American Dental Association Science and Research Institute, 211 E Chicago Ave., Chicago, IL, 60611, USA. smithd@ada.org.
  • Haley Clark
    Medical Physics; BC Cancer, Surrey, BC, Canada.
  • Allan Hovan
    BC Cancer, Vancouver, BC, Canada.
  • Jonn Wu
    Department of Radiation Oncology, BC Cancer, Vancouver, BC, Canada.