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Using routinely collected data to understand and predict adverse outcomes in opioid agonist treatment: Protocol for the Opioid Agonist Treatment Safety (OATS) Study.

Sarah LarneyMatthew HickmanDavid A FiellinTimothy DobbinsSuzanne NielsenNicola R JonesRichard P MattickRobert AliLouisa Degenhardt
Published in: BMJ open (2018)
This study has been approved by the Population and Health Services Research Ethics Committee (2018HRE0205). Results will be reported in accordance with the REporting of studies Conducted using Observational Routinely-collected health Data statement.
Keyphrases
  • public health
  • chronic pain
  • big data
  • healthcare
  • randomized controlled trial
  • mental health
  • emergency department
  • machine learning
  • deep learning
  • drug administration