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 A neural net that diagnoses epilepsy

This story is from the category Artificial Intelligence
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Date posted: 29/04/2009

Texas Tech University researchers have developed a way to automatically diagnose epilepsy with an accuracy rate of 94 percent, by training a neural network to recognize the characteristic patterns in EEG data that indicate the patient is epileptic.

See the full Story via external site: www.technologyreview.com



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