Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach

BACKGROUND: Perioperative quantitative monitoring of neuromuscular function in patients receiving neuromuscular blockers has become internationally recognized as an absolute and core necessity in modern anesthesia care. Because of their kinetic nature, artifactual recordings of acceleromyography-bas...

Descripción completa

Detalles Bibliográficos
Autores principales: Verdonck, Michaël, Carvalho, Hugo, Berghmans, Johan, Forget, Patrice, Poelaert, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768027/
https://www.ncbi.nlm.nih.gov/pubmed/34152273
http://dx.doi.org/10.2196/25913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768027/
https://www.ncbi.nlm.nih.gov/pubmed/34152273
http://dx.doi.org/10.2196/25913

Ejemplares similares