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

The study shows the potential of using machine learning to distinguish methamphetamine-dependent patients from healthy subjects by using EEG and GSR data. The LR algorithm shows the best performance comparing with SVM and RF algorithm.