DepCare: Application to Detect and Treat Mild Depression

This paper presents an idea on establishing a mobile application on detecting and treating mild depression to help them examine and uphold a good mental health. This idea was chosen due to current pandemic situation being very cruel to people’s mental health by no more having a secured job, pr...

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Main Author: MORGAN, JAYASHIRY
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21749 /
Published: IRC 2020
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/21749/1/Dissertation_Jayashiry_23251.pdf
http://utpedia.utp.edu.my/21749/
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spelling utp-utpedia.217492021-09-23T23:39:37Z http://utpedia.utp.edu.my/21749/ DepCare: Application to Detect and Treat Mild Depression MORGAN, JAYASHIRY Q Science (General) This paper presents an idea on establishing a mobile application on detecting and treating mild depression to help them examine and uphold a good mental health. This idea was chosen due to current pandemic situation being very cruel to people’s mental health by no more having a secured job, problems in marriage life, positive result for coronavirus screening and many more. Over the years, the measure of people that suffer with grief has grown and no one has found the genuine reason behind it and methods to help them. By creating this mobile application, step-by-step details must be provided in an intuitive site which may include helpful statistics on depressive symptoms. The outbreak of coronavirus with a significant number of verified, reported cases and the growing number of deaths created depression among the population. The ongoing movement control order and adapting to new normal has made the situation worse. People are unable to do the activities they once did just because of the new normal situation. This has made people to have unstable mental health causing depression in time. The rapid and world-wide growth of Covid-19 has caused public panic resulting in depression. The rate of depression has increased in Malaysia after the outbreak of Covid-19. To address this issue, this research paper focuses on developing a mobile application called depCare, to detect depressive symptoms among people and help them cure if the severity of depression is mild. This paper also covers the existing applications, websites and quizzed that are related to depression. Another goal of this study is to gather data and analytics about depression after the outbreak of Covid-19. In addition, this project’s goal is to develop a mobile application that provides one stop platform to detect depressive symptoms with quiz and treat mild depression. For Final Year Project 1,the author collected relevant data that will help for the application development that took place the next semester which was be Final Year Project 2. As for the methodology, Agile methodology was chosen to develop depCare. IRC 2020-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21749/1/Dissertation_Jayashiry_23251.pdf MORGAN, JAYASHIRY (2020) DepCare: Application to Detect and Treat Mild Depression. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
MORGAN, JAYASHIRY
DepCare: Application to Detect and Treat Mild Depression
description This paper presents an idea on establishing a mobile application on detecting and treating mild depression to help them examine and uphold a good mental health. This idea was chosen due to current pandemic situation being very cruel to people’s mental health by no more having a secured job, problems in marriage life, positive result for coronavirus screening and many more. Over the years, the measure of people that suffer with grief has grown and no one has found the genuine reason behind it and methods to help them. By creating this mobile application, step-by-step details must be provided in an intuitive site which may include helpful statistics on depressive symptoms. The outbreak of coronavirus with a significant number of verified, reported cases and the growing number of deaths created depression among the population. The ongoing movement control order and adapting to new normal has made the situation worse. People are unable to do the activities they once did just because of the new normal situation. This has made people to have unstable mental health causing depression in time. The rapid and world-wide growth of Covid-19 has caused public panic resulting in depression. The rate of depression has increased in Malaysia after the outbreak of Covid-19. To address this issue, this research paper focuses on developing a mobile application called depCare, to detect depressive symptoms among people and help them cure if the severity of depression is mild. This paper also covers the existing applications, websites and quizzed that are related to depression. Another goal of this study is to gather data and analytics about depression after the outbreak of Covid-19. In addition, this project’s goal is to develop a mobile application that provides one stop platform to detect depressive symptoms with quiz and treat mild depression. For Final Year Project 1,the author collected relevant data that will help for the application development that took place the next semester which was be Final Year Project 2. As for the methodology, Agile methodology was chosen to develop depCare.
format Final Year Project
author MORGAN, JAYASHIRY
author_sort MORGAN, JAYASHIRY
title DepCare: Application to Detect and Treat Mild Depression
title_short DepCare: Application to Detect and Treat Mild Depression
title_full DepCare: Application to Detect and Treat Mild Depression
title_fullStr DepCare: Application to Detect and Treat Mild Depression
title_full_unstemmed DepCare: Application to Detect and Treat Mild Depression
title_sort depcare: application to detect and treat mild depression
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21749/1/Dissertation_Jayashiry_23251.pdf
http://utpedia.utp.edu.my/21749/
_version_ 1741195781051777024
score 11.62408

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