Matthew Broome considers a Finnish study on the potential of predicting psychosis and bipolar disorder in young people who have previously used child and adolescent mental health services.
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12 prediction models for periodontitis incidence and progression were identified in 7 studies. There were several methodological and reporting shortcomings of published prediction models and indicated further research is required.
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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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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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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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