Machine Learning to Predict Toxicity in Head and Neck Cancer Patients Treated with Definitive Chemoradiation

Volume: 105, Issue: 1, Pages: E139 - E140
Published: Sep 1, 2019
Abstract
Concurrent chemoradiation (CRT) is one of the standard-of-care curative treatments for patients with head and neck cancer, but is associated with substantial morbidity. Proton radiation therapy (RT) may allow for decreased toxicity due to treatment related side-effects, but prospective studies are limited. We set out to use a machine learning (ML) approach to determine factors associated with morbidity in patients treated with CRT for head and...
Paper Details
Title
Machine Learning to Predict Toxicity in Head and Neck Cancer Patients Treated with Definitive Chemoradiation
Published Date
Sep 1, 2019
Volume
105
Issue
1
Pages
E139 - E140
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.