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Abstract

Binge drinking is one type of harmful alcohol use that has a variety of negative health impacts in both the drinker and others, either globally or in Malaysia. According to previous research, one in two current drinkers in Malaysia who are 13 years and older reported having engaged in binge drinking. Therefore, increased attention should be given to understand the drinking pattern of an individual and propose a solution that can help with addiction relapse. Thus, this study identified interventions that could assist alcohol relapse recovery and proposed a new generation of relapse prevention solution based on artificial intelligence (AI). By using a deep learning approach and machine learning based recommendation technique, it predicts the relapse rate of users, providing recovery consultation based on the user’s data and clinical data through a chatbot. This study involved helpful data collection, advanced data modeling, prediction analysis to support the alcohol relapse recovery journey. Hence, the proposed AI solution acted as a personalized virtual therapist to help the addicts stay sober. The objective is to present the design and realization of the AI based solution for sober journey. The proposed solution was tested with pilot study and significant benefits of virtual therapists for alcohol addiction relapse is reported in this paper.

Keywords

Artificial intelligence Alcohol addiction Relapse Prediction models Virtual therapist

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How to Cite
Win, M. N., Han, L. W. ., Samson Chandresh Kumar, E. K. K. ., Keat, T. Y. ., & Ravana, S. D. (2022). AI-Based Personalized Virtual Therapist for Alcohol Relapse. Enthusiastic : International Journal of Applied Statistics and Data Science, 2(2), 82–96. https://doi.org/10.20885/enthusiastic.vol2.iss2.art3
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