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'Big data' in mental health research: current status and emerging possibilities.

Robert J StewartKatrina Davis
Published in: Social psychiatry and psychiatric epidemiology (2016)
We discuss the strengths and weaknesses of the use of different types of data and the challenges of big data in general. Current research output from big data is still predominantly determined by the information and resources available and there is a need to reverse the situation so that big data platforms are more driven by the needs of clinical services and service users.
Keyphrases
  • big data
  • mental health
  • artificial intelligence
  • machine learning
  • healthcare
  • current status
  • primary care
  • deep learning
  • mental illness
  • health insurance
  • african american