Smart therapist: The mental health detector
- Title
- Smart therapist: The mental health detector
- Creator
- Dutt A.; Nizar Banu P.K.; Bansal A.; Bansal K.
- Description
- In this fast-moving world, mental health disorder has turned to be one of the important issues which need utmost care and concern. According to the National Mental Health Survey Report, at least 14% of the India's population needs attention for mental disorders, of which stress, depression, and anxiety are the most common. An automated system that helps in detecting these mental disorders and thereby helps us to lead a better life by moulding our lifestyle is desirable. This chapter proposes an Intelligent Therapist based on machine learning which diagnoses a person's mental state through a set of questionnaires that helps in determining his/her mental state. The chatbot analyses the response and classifies them into different categories as per the severity of the disorder. The model is trained and tested on varying datasets to provide better accuracy in the understanding of human behaviour. This web-based chatbot will be accessible to anyone having access to the internet and will act as a preliminary self-check-up point. 2025 selection and editorial matter, Neha Goel and Ravindra Kumar Yadav; individual chapters, the contributors.
- Source
- Internet of Things enabled Machine Learning for Biomedical Applications, pp. 167-187.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Dutt A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nizar Banu P.K., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal A., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Bansal K., CHRIST (Deemed to be University), Karnataka, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104009765-6; 978-103255082-4
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Dutt A.; Nizar Banu P.K.; Bansal A.; Bansal K., “Smart therapist: The mental health detector,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17948.