Predicting anesthetic infusion events using machine learning

Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists during surgery using machine learning; specifically...

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Detalles Bibliográficos
Autores principales: Miyaguchi, Naoki, Takeuchi, Koh, Kashima, Hisashi, Morita, Mizuki, Morimatsu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655034/
https://www.ncbi.nlm.nih.gov/pubmed/34880365
http://dx.doi.org/10.1038/s41598-021-03112-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655034/
https://www.ncbi.nlm.nih.gov/pubmed/34880365
http://dx.doi.org/10.1038/s41598-021-03112-2

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