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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
A REVIEW OF MACHINE LEARNING TECHNIQUES APPLIED TO COGNITIVE BEHAVIOURAL THERAPY FOR STRESS MANAGEMENT IN ADULTS
Authors
Rajashri. A. Joshi, Vishakha C. Jadhav, S. N. Helambe
Keywords
Cognitive Behavioral Therapy (CBT), Machine Learning (ML), Stress Management, Artificial Intelligence (AI), Mental Health, Adaptive Therapy, Chatbots, wearable Sensors, Natural Language Processing (NLP), Predictive Modelling.
Abstract
Cognitive Behavioral Therapy (CBT) is a widely used intervention for managing stress, but traditional delivery methods face challenges in accessibility and resource constraints. The integration of Machine Learning (ML) and Artificial Intelligence (AI) into CBT offers innovative solutions to make these interventions more accessible and personalized. This review examines current applications of ML in CBT for adult stress management, exploring key benefits such as treatment personalization, outcome prediction, and process automation. We discuss challenges and future directions for ML-driven CBT, particularly in the context of the ongoing global stress crisis exacerbated by events like the COVID-19 pandemic. This paper synthesizes findings from various studies, highlighting the potential of ML in enhancing the effectiveness and reach of CBT interventions for stress management.
IJCRT's Publication Details
Unique Identification Number - IJCRTBL02011
Paper ID - 301047
Page Number(s) - 52-58
Pubished in - Volume 14 | Issue 2 | February 2026
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v14i2.301047
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rajashri. A. Joshi, Vishakha C. Jadhav, S. N. Helambe, "A REVIEW OF MACHINE LEARNING TECHNIQUES APPLIED TO COGNITIVE BEHAVIOURAL THERAPY FOR STRESS MANAGEMENT IN ADULTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 2, pp.52-58, February 2026, Available at :http://www.ijcrt.org/papers/IJCRTBL02011.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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