Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents
- Title
- Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents
- Creator
- Rappai S.; Gobi R.
- Description
- Stress is a psychological condition that people who are experiencing difficulties in their social and environmental well-being face, and it can cause several health problems. Young individuals experience major changes during this crucial time, and they are expected to succeed in society. It's critical for people to master appropriate stress management techniques to ensure a smooth transition into adulthood. The transition to new settings, lifestyles, and interactions with a variety of people, things, and events occurs during adolescence. In this study, a dataset was utilized to classify 520 Indian individuals' stress levels into three categories: normal, moderate, and severe. Support Vector Machines, KNN, Decision Trees, Naive Bayes and CNN were among the different classification techniques that were taken into consideration. The CNN Algorithm was found to be the most reliable method for categorizing diseases linked to mental stress. The study's main goal is to create a classification model that can correctly classify a variety of samples into distinct levels of psychological discomfort. 2023 IEEE.
- Source
- 4th International Conference on Communication, Computing and Industry 6.0, C216 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Adolescent; CNN; Deep learning; LSTM; Machine Learning algorithms; Stress
- Coverage
- Rappai S., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; Gobi R., Department of Computer Science, Christ (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835032732-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Rappai S.; Gobi R., “Empirical study on The Role of Machine Learning in Stress Assessment among Adolescents,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19672.