Predicting the Response of High Frequency Spinal Cord Stimulation in Patients with Failed Back Surgery Syndrome: A Retrospective Study with Machine Learning Techniques

Predicting the Response of High Frequency Spinal Cord Stimulation in Patients with Failed Back Surgery Syndrome: A Retrospective Study with Machine Learning Techniques

Despite the proven clinical value of spinal cord stimulation (SCS) for patients with failed back surgery syndrome (FBSS), factors related to a successful SCS outcome are not yet clearly understood. This study aimed to predict responders for high frequency SCS at 10 kHz (HF-10). Data before implantat...

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Bibliographic Details
Main Authors: Lisa Goudman, Jean-Pierre Van Buyten, Ann De Smedt, Iris Smet, Marieke Devos, Ali Jerjir, Maarten Moens
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Journal of Clinical Medicine
Subjects:
pain
prediction
10 kHz spinal cord stimulation
responders
machine learning
Online Access:https://www.mdpi.com/2077-0383/9/12/4131

Internet

https://www.mdpi.com/2077-0383/9/12/4131

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