Analysing Mental Health Evaluation Techniques from a Statistical Perspective

DOI

10.2991/ahis.k.210913.046How to use a DOI?

Keywords

Anxiety, Depression, Mental Health, Social Media, Speech Analysis, Suicidal Tendency

Abstract

Mental wellbeing is an epitome of success for human beings. Recently, a lot of mental diseases that include anxiety, suicidal tendency, depression, bipolar disorder, obsessive compulsive disorder (OCD), etc. have deep-seated among all age groups. This is due to the fact that the social complexity has increased at work, in relationships, at home and in majorly all aspects of human life. Early detection of these problems can help in treating and if possible, eradicating this illness from a person’s life. Researchers have proposed different techniques that can be put into action to effectively identify these diseases. These techniques utilize different activities of normal day-to-day human behaviour, like speech analysis, social media behavioural patterns, visual-activity pattern analysis, etc. Due to a large variety of available techniques, researchers find it difficult to standardize techniques for detection and evaluation of such diseases. Thus, in this paper we have performed an in-depth study about the state-of-the art methods to identify mental health issues. Readers will be able to get a bird’s eye view of these methods and will be able to identify the best practices involved in mental health analysis. Moreover, this survey also recommends some possible improvements in the existing methods, in order to further improve the system’s performance.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - N Sushma Koushik
AU  - R Deepu
PY  - 2021
DA  - 2021/09/13
TI  - Analysing Mental Health Evaluation Techniques from a Statistical Perspective
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 373
EP  - 382
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.046
DO  - 10.2991/ahis.k.210913.046
ID  - SushmaKoushik2021
ER  -