Machine Learning for Major Depressive Disorder: An Overview
Abstract
Major Depressive Disorder (MDD) is very much pervasive in the present period. MDD is when an episode of discrete behavior sustains for at least two weeks. It is a disorder that develops twice times more in women than men. Many prevalence theories are explained through this review. Few anatomical and physiological changes also have been observed in the brain for MDD patients. The genetic modifications for MDD patients were prominent enough. As MDD has very high morbidity, it should be treated in every possible way. Some of the treatments were described here. Machine Learning (ML) in MDD was overviewed, and also future development scope or areas were discussed. This review covers the fundamental aspects of MDD in a very general way, along with its association with ML techniques.
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