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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

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