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Kaleidoscope - Volume 218 , Issue 1

Tracy, Derek K.; Joyce, Dan W.; Albertson, Dawn N.; Shergill, Sukhwinder S.

Authors

Derek K. Tracy

Dan W. Joyce

Dawn N. Albertson

Sukhwinder S. Shergill



Abstract

Predicting future suicide attempts is a challenging area for psychiatrists. Even well-established individual risk factors tend to be quite weak predictors, and most assessment tools have been shown to add little or no value to a comprehensive clinical assessment. A lack of adequately sized data-sets and limited sample sizes are often blamed. Chen et al applied a machine learning approach to a national registry of over half a million psychiatric in- and out-patient attendances between 2011 and 2012.Reference Chen, Zhang-James, Barnett, Lichtenstein, Jokinen and D'Onofrio1 Anxiety disorders (about 20%), major depressive disorders (17%) and substance use disorders (14%) were the most common presentations. An impressive 425 candidate predictors were extracted from electronic records covering clinical, demographic and socioeconomic factors. In total, 80% of the sample was used to train the algorithm – which looked for suicide attempts and deaths within 30 and 90 days – which was then tested on the remaining 20%.

Citation

Tracy, D. K., Joyce, D. W., Albertson, D. N., & Shergill, S. S. (2021). Kaleidoscope - Volume 218 , Issue 1. British Journal of Psychiatry, 218(1), 69-70. https://doi.org/10.1192/bjp.2020.239

Journal Article Type Editorial
Online Publication Date Dec 28, 2020
Publication Date 2021-01
Deposit Date Jun 21, 2023
Journal The British Journal of Psychiatry
Print ISSN 0007-1250
Electronic ISSN 1472-1465
Publisher Cambridge University Press (CUP)
Peer Reviewed Not Peer Reviewed
Volume 218
Issue 1
Pages 69-70
DOI https://doi.org/10.1192/bjp.2020.239
Keywords Psychiatry and Mental health
Public URL https://uwe-repository.worktribe.com/output/10881700
Publisher URL https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/kaleidoscope/F89BA27382A7068977003D76FC72920A
Additional Information Copyright: Copyright © The Authors 2020. Published by Cambridge University Press on behalf of The Royal College of Psychiatrists

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