1 publication

• Published Subscription 19 Aug 2023

  Depression Detection System

  By Param Goel, Palak Kumari, Nimisha Pandey, Shivanand Mishra, Sweekriti Kesarwani

  Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …

  Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article →