Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

Journal: BMJ open
Published Date: Jan 17, 2017

Abstract

OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.

Authors

  • Richard G Jackson
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Rashmi Patel
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Nishamali Jayatilleke
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Anna Kolliakou
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Michael Ball
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Genevieve Gorrell
    Department of Computer Science, University of Sheffield, Sheffield, UK.
  • Angus Roberts
    Department of Computer Science, University of Sheffield, Sheffield, UK.
  • Richard J Dobson
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Robert Stewart
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

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