Quantitative EEG parameters can improve the predictive value of the non-traumatic neurological ICU patient prognosis through the machine learning method

BACKGROUND: Better outcome prediction could assist in reliable classification of the illnesses in neurological intensive care unit (ICU) severity to support clinical decision-making. We developed a multifactorial model including quantitative electroencephalography (QEEG) parameters for outcome predi...

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Detalles Bibliográficos
Autores principales: Tian, Jia, Zhou, Yi, Liu, Hu, Qu, Zhenzhen, Zhang, Limiao, Liu, Lidou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366714/
https://www.ncbi.nlm.nih.gov/pubmed/35968284
http://dx.doi.org/10.3389/fneur.2022.897734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366714/
https://www.ncbi.nlm.nih.gov/pubmed/35968284
http://dx.doi.org/10.3389/fneur.2022.897734

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