More than 20% of children in the United States will experience a traumatic event before they are 16 years old, but some will go on to develop Post-traumatic Stress Disorder (PTSD). How can we know which child is at risk for PTSD so that it can be prevented? An article published today in BMC Psychiatry, is the first of its kind to use machine learning to identify risk factors for childhood PTSD. In this blog, author Glenn Saxe tells us more about his research
Sourced through Scoop.it from: blogs.biomedcentral.com
