Identifying populations at ultra-high risk of suicide using a novel machine learning method

Identifying populations at ultra-high risk of suicide using a novel machine learning method

Background: Targeted interventions for suicide prevention rely on adequate identification of groups at elevated risk. Several risk factors for suicide are known, but little is known about the interactions between risk factors. Interactions between risk factors may aid in detecting more specific sub-...

Full description

Bibliographic Details
Main Authors: Guus Berkelmans, Lizanne Schweren, Sandjai Bhulai, Rob van der Mei, Renske Gilissen
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Comprehensive Psychiatry
Subjects:
Suicide
Risk factors
Population data
Machine learning
Interactions
Online Access:http://www.sciencedirect.com/science/article/pii/S0010440X23000172

Internet

http://www.sciencedirect.com/science/article/pii/S0010440X23000172

Similar Items