Health Fusion: Artificial Intelligence Predicts Student Suicide Risk

The following statistical, noted by the Centers for Disease Control and Prevention, is alarming. Suicide is the second leading cause of death among adolescents aged 15 to 19. How can we prevent these tragedies from happening?

Researchers from McGill University, the University of Montreal and two other organizations in France are using artificial intelligence to identify children at risk. And they discovered that self-esteem is one of the top four contributing factors.

“Early detection of suicidal thoughts and behaviors is the key to providing appropriate treatment,” explains lead author Mélissa Macalli, a doctoral student at the University of Bordeaux.

The research team followed more than 5,000 students and found that out of 70 predictors, four of them – suicidal thoughts, anxiety, depressive symptoms, and self-esteem – were present in 80% of the suicidal behaviors observed during follow-up. .

They identified self-esteem as a major factor and recommend that it be included in screening. The researchers say their study can help develop screening tools, such as questionnaires, that can accurately predict risks easily and quickly.

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“The mental health specialists on our teams did not expect self-esteem to be one of the four main predictors of suicidal behavior,” explains Mélissa Macalli. “This discovery would not have been made without the use of machine learning, which allows a large amount of data to be analyzed simultaneously. This opens up new avenues for both research and prevention. “

The study was published in the journal Scientific Reports.

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