Developing a triage predictive model for access to a spinal surgeon using clinical variables and natural language processing of radiology reports.

Krebs, Brandon; Nataraj, Andrew; McCabe, Erin; Clark, Shannon; Sufiyan, Zahin; Yamamoto, Shelby S; Zaïane, Osmar; Gross, Douglas P

Krebs, Brandon; Nataraj, Andrew; McCabe, Erin; Clark, Shannon; Sufiyan, Zahin; Yamamoto, Shelby S; Zaïane, Osmar; Gross, Douglas P.

Afiliación

Krebs B; Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada.
Nataraj A; Department of Surgery, University of Alberta, Edmonton, Canada.
McCabe E; Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada.
Clark S; Department of Computing Science, University of Alberta, Edmonton, Canada.
Sufiyan Z; Department of Computing Science, University of Alberta, Edmonton, Canada.
Yamamoto SS; School of Public Health, University of Alberta, Edmonton, Canada.
Zaïane O; Department of Computing Science, University of Alberta, Edmonton, Canada.
Gross DP; Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Alberta, Edmonton, T6G 2G4, Canada. dgross@ualberta.ca.

Eur Spine J ; 2023 Feb 06.

Article en En | MEDLINE | ID: mdl-36740609

Palabras clave

Back and neck pain; Predictive factors; Spinal surgery; Surgical outcome

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Spine J Asunto de la revista: ORTOPEDIA Año: 2023 Tipo del documento: Article País de afiliación: Canadá

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