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Automated Machine Learning-based diagnosis of impaired consciousness: cross-center and protocol generalization of EEG biomarkers.
Raimondo, Federico; Engemann, Denis; King, Jean-Remi et al.
2019 • 13th CME International Conference on Complex Medical Engineering
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https://hdl.handle.net/2268/243702
 

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Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Raimondo, Federico ;  Université de Liège - ULiège > Consciousness-Coma Science Group
Engemann, Denis
King, Jean-Remi
Rohaut, Benjamin
Louppe, Gilles  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data
Faugeras, Frederic
Annen, Jitka  ;  Université de Liège - ULiège > Consciousness-Coma Science Group
Cassol, Helena ;  Université de Liège - ULiège > GIGA
Gosseries, Olivia  ;  Université de Liège - ULiège > Consciousness-Coma Science Group
Fernandez Slezak, Diego
Laureys, Steven  ;  Université de Liège - ULiège > Consciousness-Coma Science Group
Naccache, Lionel
Dehaene, Stanislas
Sitt, Jacobo
More authors (4 more) Less
Language :
English
Title :
Automated Machine Learning-based diagnosis of impaired consciousness: cross-center and protocol generalization of EEG biomarkers.
Publication date :
24 September 2019
Event name :
13th CME International Conference on Complex Medical Engineering
Event place :
Dortmund, Germany
Event date :
23/09/2019 - 25/09/2019
Audience :
International
Available on ORBi :
since 21 January 2020

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