Machine learning aids in detection of ‘brain tsunamis’

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a “brain tsunami.”

UC’s Jed Hartings, PhD, is corresponding author of the study published March 12 in the journal Scientific Reports

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