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

摘要

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 (VR) environment.