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

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Bibliographic Details
Title: Developing a triage predictive model for access to a spinal surgeon using clinical variables and natural language processing of radiology reports.
Authors: 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.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Mar; Vol. 35 (3), pp. 1330-1343. Date of Electronic Publication: 2023 Feb 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
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