Journal ArticleOpen Access
An in-depth analysis of machine learning approaches to predict depression
Authors
Author Affiliations
Daffodil International University, Jahangirnagar University, University of Dhaka
Published InCurrent Research in Behavioral Sciences
Year2021
Citations152
Abstract
Among all the forms of psychological and mental disorders, depression is the most common form. Nowadays a large number of youths and adults around the world suffer from depression. Depression can cause severe problems in case of failing to detect it at an early stage or failing to ensure the timely counseling of a depressed person. It is one of the major reasons to raise suicidal cases. But ironically, our society still does not want to acknowledge depression as a mental disorder causing a significant number of depressed persons to remain unidentified and untreated. This study has investigated six different machine learning classifiers using various socio-demographic and psychosocial information to detect whether a person is depressed or not. Besides, three…
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