Artificial intelligence can help to identify risk factors for suicide and self-harm, according to new research from UNSW Sydney.
The risk of repeat self-harm in young people is highest in the first month after an initial self-harm hospital presentation.
Machine learning algorithms could be more accurate and reliable than conventional methods of predicting suicide risk.
The evidence presented and initial findings show how important the royal commission is.
A UNSW expert on post-traumatic stress and anxiety explains why this year’s lockdown is affecting everyone – and especially vulnerable groups – differently.
Even healthy, well-adjusted veterans struggle with the transition from military to civilian life.
Financial hardships in particular are likely to lead to ongoing mental health problems, even as the pandemic subsides.
A new study has revealed the association between refugees’ visas and their mental health.
UNSW Sydney contributes to guidelines which indicate when children and adolescents should be treated in psychiatric hospitals.
A new study by UNSW Sydney researchers has explored half a century of research into the suicide rates of people discharged from hospital after they presented with suicidal thoughts or behaviours.