E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes

BACKGROUND: Shareable e-scooters have become popular, but injuries to riders and bystanders have not been well characterized. The goal of this study was to describe e-scooter injuries and estimate the rate of injury per e-scooter trip. METHODS AND FINDINGS: Retrospective review of patients presentin...

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Detalles Bibliográficos
Autores principales: Ioannides, Kimon L. H., Wang, Pin-Chieh, Kowsari, Kamran, Vu, Vu, Kojima, Noah, Clayton, Dayna, Liu, Charles, Trivedi, Tarak K., Schriger, David L., Elmore, Joann G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985928/
https://www.ncbi.nlm.nih.gov/pubmed/35385532
http://dx.doi.org/10.1371/journal.pone.0266097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985928/
https://www.ncbi.nlm.nih.gov/pubmed/35385532
http://dx.doi.org/10.1371/journal.pone.0266097

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