Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Background: Suicide remains a leading cause of death globally, with nearly 800,000 deaths annually, particularly among young adults in regions like Europe, Australia, and the Middle East, highlighting the urgent need for innovative intervention strategies beyond conventional methods. Objectives: Thi...

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Bibliographic Details
Main Authors: Mayyas Al-Remawi, Ahmed S.A. Ali Agha, Faisal Al-Akayleh, Faisal Aburub, Rami A. Abdel-Rahem
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Artificial intelligence (AI)
Machine learning (ML)
Suicide prediction
Environmental contaminants
Dietary influences
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024169563
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