Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models

Objective.The ability to monitor anesthetic states using automated approaches is expected to reduce inaccurate drug dosing and side-effects. Commercially available anesthetic state monitors perform poorly when ketamine is administered as an anesthetic-analgesic adjunct. Poor performance is likely be...

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Detalles Bibliográficos
Autores principales: Kashkooli, Kimia, Polk, Sam L., Hahm, Eunice Y., Murphy, James, Ethridge, Breanna R., Gitlin, Jacob, Ibala, Reine, Mekonnen, Jennifer, Pedemonte, Juan C., Sun, Haoqi, Westover, M. Brandon, Barbieri, Riccardo, Akeju, Oluwaseun, Chamadia, Shubham
Formato: Artículo (Article)
Idioma:Inglés (English)
Publicado: 2025
Materias:
anesthesia
electroencephalogram
ketamine
machine learning
sevoflurane
Acceso en línea:https://repositorio.uc.cl/handle/11534/100485

Internet

https://repositorio.uc.cl/handle/11534/100485

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