From the Suicide and Life-Threatening Behavior Journal

a machine learning approach to identifying the thought markers of suicidal thought

Predicting when someone will commit suicide is extremely difficult. However, efforts to understand or predict suicide risks can be grouped into groups or traits.

Seeing computer science as an opportunity to understand and address the causes of suicide, this study from the Suicide and Life-Threatening Behavior Journal uses machine learning algorithms to classify subjects into three groups, with 85% accuracy.

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