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Automated Differentiation between Epileptic and Nonepileptic Convulsive Seizures Ann Neurol 77:348-351, Beniczky, S.,et al, 2015 See this aricle in Pubmed Article Abstract The algorithm correctly classified 24 GTCSs (96%) and 18 PNESs (95%). The overall diagnostic accuracy was 95%. This algorithm is useful for distinguishing between epileptic and psychogenic convulsive seizures.

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(click to filter results - removes previous filter) computers,neurologic diagnosis and electroencephalogram,brain mapping neurologic disease,diagnoses of seizure seizure,automated diagnosis seizure,hysterical seizure,nonconvulsive

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