Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning

Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-grouping approaches by using a data-driven approach to overcome clinician subjectivity, however, only binary classification of pain versus no-pain has...

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Detalles Bibliográficos
Autores principales: Tagliaferri, Scott D., Wilkin, Tim, Angelova, Maia, Fitzgibbon, Bernadette M., Owen, Patrick J., Miller, Clint T., Belavy, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452567/
https://www.ncbi.nlm.nih.gov/pubmed/36071092
http://dx.doi.org/10.1038/s41598-022-19542-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452567/
https://www.ncbi.nlm.nih.gov/pubmed/36071092
http://dx.doi.org/10.1038/s41598-022-19542-5

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