• The work is highly significant and fills a critical gap, particularly in the emerging research on adolescent suicide in sub-Saharan Africa.
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Using a machine learning analysis of socio-ecological and psychological factors to predict suicide risk among a nationally representative sample of Ghanaian adolescents.
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