This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1210) ISRII-JMIR Mental and Behavioural Health journal (1) Electronic Health Records (1068) Natural Language Processing (706) Articles* (13) Depression and Mood Disorders; Suicide Prevention (1392) Clinical Information and Decision Making (1434)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22397, first published .
Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis

Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis

Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis

Authors of this article:

André Bittar1 Author Orcid Image ;   Sumithra Velupillai1 Author Orcid Image ;   Angus Roberts1 Author Orcid Image ;   Rina Dutta1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

André Bittar   1 , PhD ;   Sumithra Velupillai   1 , PhD ;   Angus Roberts   1 , PhD ;   Rina Dutta   1, 2 , PhD

1 Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom

2 South London and Maudsley NHS Foundation Trust, London, United Kingdom

Corresponding Author:

  • André Bittar, PhD
  • Institute of Psychiatry, Psychology and Neuroscience
  • King’s College London
  • 16 De Crespigny Park
  • London, SE5 8AF
  • United Kingdom
  • Phone: 44 (0)20 3228 8553
  • Email: andre.bittar@kcl.ac.uk