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The use of classification and regression tree analysis to identify the optimal surgical timing for improving neurological outcomes following motor-complete thoracolumbar traumatic spinal cord injury.

Julien GouletAndréane Richard-DenisJean-Marc Mac-Thiong
Published in: Spinal cord (2020)
This study was supported by the Fonds de Recherche du Québec-Santé (FRQS), Department of the Army-United States Army Medical Research Acquisition Activity, Rick Hansen Spinal Cord Injury Registry and Medtronic research chair in spinal trauma at Université de Montréal.
Keyphrases
  • spinal cord injury
  • spinal cord
  • neuropathic pain
  • healthcare
  • machine learning
  • deep learning
  • tertiary care
  • data analysis