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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM12923
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Depression has long been a source of worry in our culture, and it has remained a hot issue for scholars all around the world. Depression is a common cause of mental illness that has been associated with an increased risk of dying early. Furthermore, it is a leading cause of suicide ideation and significantly impairs everyday functioning. Despite the vast amount of research on understanding individual moods, including depression, anxiety, and stress-related activity, Predicting emotions using these activity records collected by ubiquitous computing devices such as cellphones remains an unsolved task. In this project, we have proposed a system for detecting suicidal thoughts and analysing depression, for predicting suicidal acts based on the level of depression.
KEYWORDS
Publication Date
8/4/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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