Psychologists enlist machine learning to help diagnose depression

(University of Texas at Austin, Texas Advanced Computing Center) Cognitive neuroscientists from The University of Texas at Austin are using the Stampede supercomputer to provide accurate predictions of risk for those with depression and anxiety.They have been able to classify individuals with major depressive disorder with roughly 75 percent accuracy using a machine learning approach. Stampede 2 --which will come online later in 2017 -- will provide the increased computer processing required to incorporate more data and achieve even greater accuracy.

from EurekAlert! - Social and Behavioral Science http://ift.tt/2nts2a6