Predictive Modeling of Outcomes After Traumatic and Nontraumatic Spinal Cord Injury Using Machine Learning: Review of Current Progress and Future Directions

Machine learning represents a promising frontier in epidemiological research on spine surgery. It consists of a series of algorithms that determines relationships between data. Machine learning maintains numerous advantages over conventional regression techniques, such as a reduced requirement for a...

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Detalles Bibliográficos
Autores principales: Khan, Omar, Badhiwala, Jetan H., Wilson, Jamie R.F., Jiang, Fan, Martin, Allan R., Fehlings, Michael G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Spinal Neurosurgery Society 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945005/
https://www.ncbi.nlm.nih.gov/pubmed/31905456
http://dx.doi.org/10.14245/ns.1938390.195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945005/
https://www.ncbi.nlm.nih.gov/pubmed/31905456
http://dx.doi.org/10.14245/ns.1938390.195

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