Taiwan team identifies internet addiction by analyzing brain waves

A Taiwanese research team has developed a machine-learning model that analyzes electroencephalography (EEG) brain-wave patterns to distinguish individuals with internet addiction from healthy subjects with 86 percent accuracy, researchers announced Thursday.

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