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Virtual Psychological Caregiver: An AI-Based System for Mental Health Support

Fengshan Lu, Wenbo Dai, Biwen Shi

Abstract


Mental health is a critical aspect of overall well-being, and the demand for mental health services has increased in recent years. However, there is a shortage of trained mental health professionals, and many people do not have access to mental health services due to various reasons such as stigma, cost, and lack of availability. This paper proposes a Virtual Psychological Caregiver (VPC) system, an AI-based system for mental health support. The VPC system utilizes natural language processing and machine learning algorithms to provide personalized mental health support to individuals. The system is designed to be accessible, aff ordable, and confidential. This paper presents the design, development, and evaluation of the VPC system. The results of the evaluation show that the VPC system has the potential to provide eff ective mental health support to individuals

Keywords


Virtual Psychological Caregiver (VPC) system AI-based systemnatural language processingmachine learningmental health

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References


[1] World Health Organization. (2019). Mental disorders. Retrieved from https://www.who.int/mental_health/management/en/

[2] Choi, J., & Park, H. A. (2019). Development of a conversational agent for mental health counseling using machine learning algorithms. Healthcare Informatics Research, 25(4), 285-292.




DOI: http://dx.doi.org/10.18686/ahe.v7i19.9454

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