suicide
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Machine learning approach predicts suicide risk
A study has evaluated the performance of machine learning on routinely collected electronic health records, as a possible approach to accurately screen and detect adolescents at risk of making suicide attempts.
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Violent self-harm may predict subsequent suicide
Researchers in Sweden have found that violent methods of self-harm requiring hospitalization may indicate high risk of future suicide in adolescents and young women.
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Clinical characteristics of adolescents referred for treatment of depressive disorders
Low mood and depression often emerge during adolescence and are associated with long-term difficulties including increased risk of developing other mental health disorders, educational underachievement, low income/unemployment, and risk of suicidal behaviour.
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