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Deep graph neural network-based prediction of acute suicidal ideation in young adults

Deep graph neural network-based prediction of acute suicidal ideation in young adults

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_517429c33258464db81d66a2d972bb07

Deep graph neural network-based prediction of acute suicidal ideation in young adults

About this item

Full title

Deep graph neural network-based prediction of acute suicidal ideation in young adults

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-08, Vol.11 (1), p.15828-11, Article 15828

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general population, but previous models for predicting suicide attempts suffered from low sensitivity. We develo...

Alternative Titles

Full title

Deep graph neural network-based prediction of acute suicidal ideation in young adults

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_517429c33258464db81d66a2d972bb07

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_517429c33258464db81d66a2d972bb07

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-95102-7

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