Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment

Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment

Abstract Background The aim of this study was to evaluate whether machine learning (ML) can be used to distinguish patients with methamphetamine dependence from healthy controls by using their surface electroencephalography (EEG) and galvanic skin response (GSR) in a drug‐simulated virtual reality (...

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Bibliographic Details
Main Authors: Xinfang Ding, Yuanhui Li, Dai Li, Ling Li, Xiuyun Liu
Format: Article
Language:English
Published: Wiley 2020-11-01
Series:Brain and Behavior
Subjects:
drug abuse
electroencephalography
machine learning
methamphetamine
virtual reality
Online Access:https://doi.org/10.1002/brb3.1814

Internet

https://doi.org/10.1002/brb3.1814

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