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Composite grading algorithm for the National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).

Ethan BaschClaus BeckerLauren J RogakDeborah SchragBryce B ReevePatricia SpearsMary Lou SmithMrinal M GounderMichelle R MahoneyGary K SchwartzAntonia V BennettTito R MendozaCharles S CleelandJeff A SloanDeborah Watkins BrunerGisela SchwabThomas M AtkinsonGita ThanarajasingamMonica M BertagnolliAmylou C Dueck
Published in: Clinical trials (London, England) (2020)
A composite grading algorithm has been developed and yields single numerical grades for adverse events assessed via the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events, and can be useful in analyses and reporting.
Keyphrases
  • patient reported outcomes
  • machine learning
  • deep learning
  • psychometric properties
  • emergency department
  • neural network