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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |