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Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach.

Carmen KutDoug MidthuneEmerson E LeePeyton FairTia CheunkarndeeTodd McNuttTheodore DeWeeseCarole FakhryVictor KipnisHarry Quon
Published in: JCO clinical cancer informatics (2023)
POTOMAC provides important insights into potential approaches to reduce mortality in patients with HNSCC treated by chemoradiation but needs to be validated in future studies.
Keyphrases
  • machine learning
  • rectal cancer
  • cardiovascular events
  • risk factors
  • artificial intelligence
  • big data
  • convolutional neural network
  • risk assessment
  • radiation therapy
  • newly diagnosed