Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction

Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction

Patients with Disorder of Consciousness (DoC) entering Intensive Rehabilitation Units after a severe Acquired Brain Injury have a highly variable evolution of the state of consciousness which is a complex aspect to predict. Besides clinical factors, electroencephalography has clearly shown its poten...

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Bibliographic Details
Main Authors: Piergiuseppe Liuzzi, Antonello Grippo, Silvia Campagnini, Maenia Scarpino, Francesca Draghi, Annamaria Romoli, Bahia Hakiki, Raisa Sterpu, Antonio Maiorelli, Claudio Macchi, Francesca Cecchi, Maria Chiara Carrozza, Andrea Mannini
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electroencephalography
disorder of consciousness
machine learning
coma recovery scale—revised
prognostic gmodels
Online Access:https://ieeexplore.ieee.org/document/9784860/

Internet

https://ieeexplore.ieee.org/document/9784860/

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