Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epilepti...
Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Electroencephalographic (EEG) signal processing and machine learning can support neurologists’ work in discriminating Psychogenic Non-Epileptic Seizure (PNES) from epilepsy. PNES represents a neurological disease often misdiagnosed. Although the symptoms of PNES patients can be similar to those exhibited by epileptic patients, EEG signals during a...
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Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures
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TN_cdi_doaj_primary_oai_doaj_org_article_43a19402ac0e4addba9bbded99b3a548
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43a19402ac0e4addba9bbded99b3a548
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13126924
