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Mapping MacNew Heart Disease Quality of Life Questionnaire onto country-specific EQ-5D-5L utility scores: a comparison of traditional regression models with a machine learning technique.

Lan GaoWei LuoUtsana TonmukayakulMarj MoodieGang Chen
Published in: The European journal of health economics : HEPAC : health economics in prevention and care (2021)
Among different approaches been explored, there is not a conclusive conclusion regarding the optimal method for developing mapping algorithms. A machine learning approach represents an alternative mapping approach that should be explored further. The reported algorithms from response mapping have the potential to be more widely used; however, the performance needs to be externally validated.
Keyphrases
  • machine learning
  • high resolution
  • high density
  • artificial intelligence
  • deep learning
  • big data
  • pulmonary hypertension