Predicting suicide attempts in adolescents: machine learning is powerful, but don’t forget Bayes’ rule

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Derek de Beurs explores a recent study that uses longitudinal clinical data and machine learning to predict suicide attempts in adolescents.

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Predicting suicide following self-harm: risk analysis provides little help

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Camille Hart, Alys Cole-King and Siobhan O’Neill co-author this blog about a recent systematic review of risk factors and risk scales, which explores the feasibility of predicting suicide following self-harm.

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Epidemiological tools help commissioners allocate resources more effectively, suggests research

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Caroline De Brun highlights the Psymaptic epidemiological prediction tool, which helps commissioners make evidence-based decisions about mental health service provision, specifically early intervention in psychosis.

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