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Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data.

Sameer SundraniJames Lu
Published in: JCO clinical cancer informatics (2021)
Enabling the derivation of HR from ML models can help to improve the identification of risk factors from complex survival data sets and to enhance the prediction of clinical trial outcomes.
Keyphrases
  • clinical trial
  • risk factors
  • electronic health record
  • big data
  • machine learning
  • phase ii
  • study protocol
  • artificial intelligence
  • insulin resistance
  • double blind
  • skeletal muscle
  • phase iii