Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures

OBJECTIVE: In older patients receiving general anesthesia, postoperative delirium (POD) is the most frequent form of cerebral dysfunction. Early identification of patients at higher risk to develop POD could provide the opportunity to adapt intraoperative and postoperative therapy. We, therefore, pr...

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Detalles Bibliográficos
Autores principales: Röhr, Vera, Blankertz, Benjamin, Radtke, Finn M., Spies, Claudia, Koch, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614270/
https://www.ncbi.nlm.nih.gov/pubmed/36313029
http://dx.doi.org/10.3389/fnagi.2022.911088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614270/
https://www.ncbi.nlm.nih.gov/pubmed/36313029
http://dx.doi.org/10.3389/fnagi.2022.911088

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