Abstract

Suicide is one of the main causes of death worldwide and despite the fact that prevention strategies being applied, the rate of suicide has not changed substantially over the past decades. Suicide risk has proven extremely difficult to assess for medical specialists, and traditional methodologies deployed have not been effective. Advances in Artificial Intelligence (AI) make it possible to attempt to predict suicide with the analysis of relevant data aiming to inform clinical practice and this is the focus of this work. The results indicate that Artificial Intelligence models show promising results for predicting which people are most at risk of committing suicide at the time of referral to a mental health service.

Original languageEnglish
Title of host publication15th International Conference on Information, Intelligence, Systems and Applications, IISA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9798350368833
ISBN (Print)9798350368840
DOIs
Publication statusPublished - 18 Dec 2024
Event15th International Conference on Information, Intelligence, Systems and Applications - Chania, Greece
Duration: 17 Jul 202420 Jul 2024
Conference number: 15

Conference

Conference15th International Conference on Information, Intelligence, Systems and Applications
Abbreviated titleIISA 2024
Country/TerritoryGreece
CityChania
Period17/07/2420/07/24

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