Publication:
A Systematic Review of Machine Learning in Substance Addiction

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Date
2020
Authors
Zulkifli N.F.
Cob Z.C.
Latif A.A.
Drus S.M.
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Institute of Electrical and Electronics Engineers Inc.
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Abstract
Substance addiction affects millions of people worldwide and there is no cure for addiction. With the emergence of machine learning, it has open doors for healthcare industry to incorporate technology to help healthcare workforce to make better decision in treating patients. By applying machine learning in understanding patients with substance addiction, it can help in determining their treatment. This paper aims to provide a summary of how effective machine learning method is applied in addiction studies in which 11 studies are included in this paper by using PRISMA methodology to find sources. � 2020 IEEE.
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Patient treatment; Healthcare industry; Machine learning methods; Open doors; Systematic Review; Machine learning
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