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 language | English |
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Title of host publication | 15th International Conference on Information, Intelligence, Systems and Applications, IISA 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 4 |
ISBN (Electronic) | 9798350368833 |
ISBN (Print) | 9798350368840 |
DOIs | |
Publication status | Published - 18 Dec 2024 |
Event | 15th International Conference on Information, Intelligence, Systems and Applications - Chania, Greece Duration: 17 Jul 2024 → 20 Jul 2024 Conference number: 15 |
Conference
Conference | 15th International Conference on Information, Intelligence, Systems and Applications |
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Abbreviated title | IISA 2024 |
Country/Territory | Greece |
City | Chania |
Period | 17/07/24 → 20/07/24 |