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Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury.

Enea ParimbelliCaterina PistariniGabriella FizzottiCarla RognoniGiampiero OlivieriSilvana Quaglini
Published in: BioMed research international (2017)
Demographic and clinical variables are useful to predict QoL but do not completely capture utility coefficients variability. Therefore, direct preference-based utility elicitation should be strengthened. Finally, this is the first study providing data that can be used as a reference for cost-utility analyses in the Italian SCI population.
Keyphrases
  • spinal cord injury
  • spinal cord
  • neuropathic pain
  • electronic health record
  • deep learning
  • machine learning