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Machine learning and the prediction of suicide in psychiatric populations: a systematic review

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4502c107155345aeb8c9faeaf333deb7

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

About this item

Full title

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

Publisher

London: Nature Publishing Group UK

Journal title

Translational psychiatry, 2024-03, Vol.14 (1), p.140-22, Article 140

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric populations, a formal psychiatric diagnosis emerged as a strong predictor of suicidal risk, overshadowing more subtle risk factors specific to distinct populations. To overcome this limita...

Alternative Titles

Full title

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4502c107155345aeb8c9faeaf333deb7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4502c107155345aeb8c9faeaf333deb7

Other Identifiers

ISSN

2158-3188

E-ISSN

2158-3188

DOI

10.1038/s41398-024-02852-9

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