Depression Prediction Analysis using Deep Learning: A Survey

Abstract

Depression is the leading cause of disability for people. It badly affects on physical health of people. Now a day it is observed from children having more than twelve edge to onwards. Machine learning helps doctors predict who might be at risk for a particular disorder. Machine learning, including pre-treatment symptom scores and electroencephalographic characteristics, predicts whether depressive symptoms will improve with antidepressants, and that means they can help them improve. This paper proposes the deep literature review of depression analysis based on offline and online sources using advanced technology. The research work divided into three parts, The First part focuses on the problem definition and second contains deep literature review based on online and offline resource and third part contains the proposed plan of work. PU - SOC SCIENCE & NATURE PI - BHOPAL PA - C-52 HOUSING BOARD COLONY, KOHE FIZA, BHOPAL, MADHYA PRADESH 462 001, INDIA