Application of Machine Learning Strategies to Model the Effects of Sevoflurane on Somatosensory-Evoked Potentials during Spine Surgery

In this study, a small sample of patients’ neuromonitoring data was analyzed using machine learning (ML) tools to provide proof of concept for quantifying complex signals. Intraoperative neurophysiological monitoring (IONM) is a valuable asset for monitoring the neurological status of a patient duri...

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Detalles Bibliográficos
Autores principales: Wilson, John Preston, Kumbhare, Deepak, Ronkon, Charles, Guthikonda, Bharat, Hoang, Stanley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648293/
https://www.ncbi.nlm.nih.gov/pubmed/37958285
http://dx.doi.org/10.3390/diagnostics13213389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648293/
https://www.ncbi.nlm.nih.gov/pubmed/37958285
http://dx.doi.org/10.3390/diagnostics13213389

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