Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures

Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures

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 exhi...

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Bibliographic Details
Main Authors: Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Franco Pucci, Antonio Gambardella, Mario Cannataro
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
epilepsy
PNES
quantitative EEG
data mining
classification
Online Access:https://www.mdpi.com/2076-3417/13/12/6924

Internet

https://www.mdpi.com/2076-3417/13/12/6924

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