Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.

Journal: BMJ open
Published Date: Feb 16, 2022

Abstract

OBJECTIVE: This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.

Authors

  • Riley Botelle
    IoPPN, King's College London, SE5 8AF, London, UK.
  • Vishal Bhavsar
    Section of Women's Mental Health, Department of Health Services and Population Research, King's College London, London, UK.
  • Giouliana Kadra-Scalzo
    Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Aurelie Mascio
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
  • Marcus V Williams
    School of Medical Education, Guy's, King's and St Thomas' School of Medicine, London, UK.
  • Angus Roberts
    Department of Computer Science, University of Sheffield, Sheffield, UK.
  • Sumithra Velupillai
    Department of Computer and Systems Sciences (DSV), Stockholm University, Stockholm, Sweden; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
  • Robert Stewart
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

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