Machine Learning Model Enables Researchers to Pinpoint PTSD Sufferers
Researchers have designed a machine learning model that can identify individuals suffering from PTSD by conducting an analysis of text data with 80% accuracy. Post-traumatic stress disorder (PTSD) is a mental health condition that is triggered by a traumatic event which an individual may witness or experience. This machine learning model may, in the future, be used as an inexpensive and accessible screening method to help physicians detect and diagnose post-traumatic stress disorder or other mental conditions, via telehealth platforms. Jeff Sawalha, a PhD candidate specializing in psychiatry at the University of Alberta, led this project. He carried out an…






