A Machine Learning-Based Statistical Analysis of Predictors for Spinal Cord Stimulation Success

Autor: Jacobson, Trolle, Segerberg, Gustav

Spinal Cord Stimulation (SCS) is a treatment for lumbar back pain and despitethe proven effcacy of the technology, there is a lack of knowledge in how the treatment outcome varies between different patients groups. Furthermore, since the method is co

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-162121

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Real-world outcomes in spinal cord stimulation: predictors of reported effect and explantation using a comprehensive registry-based approach.

Autor: Kirketeig T; Akademiska Sjukhuset, Uppsala, Sweden.; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden., Söreskog E; Quantify Research, Stockholm, Sweden.; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden., Jacobson T; Quantify Research, Stockholm, Sweden., Karlsten R; Akademiska Sjukhuset, Uppsala, Sweden.; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden., Zethraeus N; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden., Borgström F; Quantify Research, Stockholm, Sweden.

Publikováno v: Pain reports [Pain Rep] 2023 Nov 15; Vol. 8 (6), pp. e1107. Date of Electronic Publication: 2023 Nov 15 (Print Publication: 2023).