McGill, UMontreal, Inserm, UBordeaux use AI to identify predictive factors in suicidal risk among students

August 23, 2021
Researchers from McGill University, Université de Montréal, Inserm, and Université de Bordeaux recently published the findings of a project that used artificial intelligence (AI) to predict suicidal behaviours in students. The study involved the use of surveys and machine learning to analyze the factors associated with suicidal risk and their importance in predicting suicidal behaviour. “Many known factors can contribute to the increased risk in university students, such as the transition from high school to college, psychosocial stress, academic pressures, and adapting to a new environment,” explained McGill Postdoctoral Fellow and study co-author Massimiliano Orri. The four factors that were found to have the highest predictive power were 12-month suicidal thoughts, trait anxiety, depression symptoms, and self-esteem. McGill | Nature (QC)