Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.

Abstract

Authors

• Natasha Chilman
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK natasha.chilman@kcl.ac.uk.
• Xingyi Song
  University of Sheffield, Western Bank, Sheffield, S10 2TN, UK.
• Angus Roberts
  Department of Computer Science, University of Sheffield, Sheffield, UK.
• Esther Tolani
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• Robert Stewart
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
• Zoe Chui
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• Karen Birnie
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• Lisa Harber-Aschan
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• Billy Gazard
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• David Chandran
  Institute of Psychiatry, Psychology and Neuroscience, Academic Department of Psychological Medicine, London, SE5 8AF, United Kingdom.
• Jyoti Sanyal
  Institute of Psychiatry, Psychology and Neuroscience, Academic Department of Psychological Medicine, London, SE5 8AF, United Kingdom.
• Stephani Hatch
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• Anna Kolliakou
  Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
• Jayati Das-Munshi
  Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Keywords

External Resources