Open AccessDetection of Depression Using Machine Learning Algorithms
Author(s) -
Munish Kumar,
Kadoori Pooja,
Meghana Udathu,
Lakshmi Prasanna J,
Chella Santhosh
Publication year - 2022
Publication title -
international journal of online and biomedical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
ISSN - 2626-8493
DOI - 10.3991/ijoe.v18i04.29051
Subject(s) - sadness , depression (economics) , anger , mood , social media , affect (linguistics) , psychology , mental illness , identity (music) , mental health , internet privacy , psychiatry , computer science , world wide web , aesthetics , communication , art , economics , macroeconomics
Online media outlets such as Facebook, Twitter, and Instagram have forever altered our reality. People are now more connected than ever before, and they have developed such a sophisticated identity. According to ongoing research, there is a link between excessive usage of social media and depression. A mood illness is known as depression. It's defined as sadness, loss, or anger that interferes with a person's day-to-day activity. For different people, depression expresses itself in a number of ways. It might cause disturbances in your daily routine, resulting in missed time and lower productivity. It can also affect relationships as well as some chronic conditions. It has evolved into a serious disease in our generation, with the number of those affected increasing by the day. Some people, on the other hand, can confess that they are depressed, while others are utterly ignorant. On the other hand, the great majority Social media has evolved into a "diary," allowing them to share their mental condition.