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

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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Bibliographic Details
Main Authors: John Preston Wilson, Deepak Kumbhare, Charles Ronkon, Bharat Guthikonda, Stanley Hoang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Diagnostics
Subjects:
machine learning
neural networks
principal component analysis
phase space curve analysis
support vector machine
regression learners
Online Access:https://www.mdpi.com/2075-4418/13/21/3389

Internet

https://www.mdpi.com/2075-4418/13/21/3389

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