Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review.
Journal:
Journal of medical Internet research
Published Date:
Nov 3, 2020
Abstract
BACKGROUND: Machine learning applications in health care have increased considerably in the recent past, and this review focuses on an important application in psychiatry related to the detection of depression. Since the advent of computational psychiatry, research based on functional magnetic resonance imaging has yielded remarkable results, but these tools tend to be too expensive for everyday clinical use.