International Journal of Computer and Communication Technology
Article Title
Analysis of Mental Health Problems Among Higher Education Students using Machine Learning
Abstract
Currently, mental health concerns pose a significant issue in Odisha. Generally, mental health problems affect a person's thoughts, feelings, actions, and communication. As per the 2017 National Health and Morbidity Survey (NHMS), one in five individuals in Odisha suffer from depression, two have anxiety, and one out of ten experiences stress. Additionally, students in higher education are at an elevated risk of developing mental health problems. However, helping a person with mental health concerns can be challenging due to difficulties in identifying the root causes of their condition. The main objectives of this study are to: 1. Explore mental health issues among higher education students. 2. Investigate the factors that contribute to these issues. 3. Assess the effectiveness of machine learning techniques in analyzing and predicting mental health problems among higher education students. Using computational modeling, this paper's findings will contribute to the ongoing discussion on mental health concerns in future research.
Recommended Citation
Satapathy, Ankita; Pattnaik, Saumendra; Biradar, Sangappa Ramachandra; and Kumar, Saurav
(2023)
"Analysis of Mental Health Problems Among Higher Education Students using Machine Learning,"
International Journal of Computer and Communication Technology: Vol. 9:
Iss.
2, Article 1.
DOI: 10.47893/IJCCT.2023.1449
Available at:
https://www.interscience.in/ijcct/vol9/iss2/1
DOI
10.47893/IJCCT.2023.1449
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