Friday 19 October 2018

AI could be used to predict outcomes for people at risk of psychosis and depression


Australian Research - 
"Professor Wood said the research team found that machine learning outperformed human experts and could correctly predict social outcomes one year later in up to 83 per cent of patients in clinical high-risk states for psychosis and 70 per cent of patients with recent-onset depression.
“Predicting social outcomes is important as among young people and emerging adults in OECD countries the top causes of ‘disability’ – and poor social functioning is included in that – are mostly disorders of mental health, including those that typically present with a first episode of psychosis,” Professor Wood said.
“By being able to better predict what will happen to people at high risk of psychosis or with recent onset depression over time, we are able to provide individualised treatments to clients when they first present to mental health services and potentially improve their social functioning."

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Monday 1 October 2018

"Why reducing parental conflict matters for local government"


"Reducing parental conflict is everyone’s business Any practitioner or volunteer working with children, young people and families can have an impact on reducing parental conflict. The risk of conflict between parents is higher at crucial transition points in family life, such as becoming pregnant, having a baby, starting or changing school, or separation and divorce. However, relationship difficulties are often seen as a private matter and couples tend to only seek help when they are in crisis. Frontline practitioners often lack the confidence, tools and knowledge to raise relationship issues with parents and so miss opportunities to identify and support families experiencing parental conflict."

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