Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.

Journal: Schizophrenia bulletin
Published Date: Mar 16, 2021

Abstract

BACKGROUND: Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis.

Authors

  • Jessica Irving
    Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Rashmi Patel
    Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Dominic Oliver
    Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Craig Colling
    South London and Maudsley NHS Foundation Trust, London, UK.
  • Megan Pritchard
    South London and Maudsley NHS Foundation Trust, London, UK.
  • Matthew Broadbent
    South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, United Kingdom.
  • Helen Baldwin
    Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Daniel Stahl
    King's College London, Institute of Psychiatry, Department of Biostatistics, London, UK.
  • Robert Stewart
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Paolo Fusar-Poli
    Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

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