Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review

The number of deaths caused by alcohol-related diseases may be reduced by predicting alcohol use disorder (AUD). Many researchers have worked on AUD prediction using machine learning (ML) techniques. However, to the best of our knowledge, there is a lack of a comprehensive systematic literature revi...

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Bibliographic Details
Main Authors: Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Sogaard Nielsen, Ghulam Mujtaba Shaikh, Marjan Mansourvar
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Systematic literature review
alcohol use disorder
prediction
machine learning
supervised learning
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/3637a16e2a664c78b4e223243639a61e
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https://doaj.org/article/3637a16e2a664c78b4e223243639a61e

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