A deep learning framework for automatic diagnosis of unipolar depression.
Journal:
International journal of medical informatics
Published Date:
Dec 1, 2019
Abstract
BACKGROUND AND PURPOSE: In recent years, the development of machine learning (ML) frameworks for automatic diagnosis of unipolar depression has escalated to a next level of deep learning frameworks. However, this idea needs further validation. Therefore, this paper has proposed an electroencephalographic (EEG)-based deep learning framework that automatically discriminated depressed and healthy controls and provided the diagnosis.