Psychologists enlist machine learning to help diagnose depression

Cognitive neuroscientists 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.

(via WSJ)

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