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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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Témata:	Electroencephalography disorder of consciousness machine learning coma recovery scale—revised prognostic gmodels
On-line přístup:	https://ieeexplore.ieee.org/document/9784860/
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