AI to better predict suicidal behavior in students

Almost one in 6 students would experience suicidal thoughts or behavior.

But how do you identify those who need help the most early on?

It is an artificial intelligence program that provides an answer to this complex question.

An algorithm developed by researchers from Inserm and the University of Bordeaux has indeed made it possible to analyze data from a cohort of students and to isolate predictive factors.

Their results, published in the journal

Scientific Reports

, show that four factors can effectively predict the onset within twelve months of suicidal thoughts and behaviors.

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Online cohort

“

It is essential to be able to target prevention in order to become more effective, and people at risk ignore themselves.

Developing tools to draw the attention of and to those who need rapid help the most is important

”, explains Christophe Tzourio, neurologist and professor of epidemiology at the University of

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