An Analysis of the Severity of Alcohol Use Disorder Based on Electroencephalography Using Unsupervised Machine Learning

An Analysis of the Severity of Alcohol Use Disorder Based on Electroencephalography Using Unsupervised Machine Learning

This paper presents an analysis of the severity of alcohol use disorder (AUD) based on electroencephalogram (EEG) signals and alcohol drinking experiments by utilizing power spectral density (PSD) and the transitions that occur as individuals drink alcohol in increasing amounts. We use data from bra...

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Bibliographic Details
Main Authors: Kaloso M. Tlotleng, Rodrigo S. Jamisola
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Big Data and Cognitive Computing
Subjects:
alcohol use disorder
electroencephalogram
alcohol drinking experiments
power spectral density
unsupervised machine learning
Online Access:https://www.mdpi.com/2504-2289/9/7/170
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