Mental Health Monitoring System using Artificial Intelligence: A Review
Abstract
Mental health is an important public health concern worldwide and should be a prominent part of the healthcare industry. However, the pace of development in this field appears to be quite slow. Recently AI techniques have attracted a lot of attention in different industries, including mental health. With the help of advanced AI techniques and machine learning algorithms, a personalized care that focuses on providing emotional support catered to a specific individual has been facilitated. In this paper, we analyse various systems for mental health monitoring namely virtual counselling, precision therapy, and diagnostic systems by reviewing the algorithms and parameters used in each system. We conclude by proposing a system which combines the above-mentioned systems and is planned to provide personalized mental care.
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ML algorithms were employed to predict the onset of chronic diseases such as diabetes, cardiovascular disease, and mental health issues by measuring heart rate and blood glucose meters.
“For instance, these algorithms were employed to predict the onset of chronic diseases, such as diabetes, cardiovascular disease, and mental health issues, by measuring heart rate and blood glucose meters [4,186].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [186]
Integrating AI technologies has transformed mental health care, enabling new possibilities for identifying and intervening in mental health issues via immediate and personalized support.
“Integrating AI technologies has transformed mental health care, enabling new possibilities for identifying and intervening in mental health issues via immediate and personalized support [186].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [186]
Chatbots are highly effective tools for delivering mental health services through digital platforms.
“For instance, Chatbots are highly effective tools for delivering mental health services through digital platforms [186].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [186]
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- Authors
- Mody, V., & Mody, V.
- Affiliations
- Narsee Monjee Institute of Management Studies (IN)
- Venue
- 2019 IEEE 5th International Conference for Convergence in Technology (I2CT)
- Publisher
- IEEE
- Published
- 2019-03
- Pages
- 1-6
- OpenAlex
- W3010999654
- Semantic Scholar
- b73ca5c5a21dc7efd5207a1c942c5af1c9a671ff
- Cited by
- 52
- References
- 17
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 16 · 2023: 10 · 2022: 2 · 2021: 12
- FWCI
- 4.41
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE International Conference for Convergence in Technology (I2CT) (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- mental health monitoring, artificial intelligence, precision therapy, emotional support, machine learning algorithms
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