Using Primary Care Clinical Text Data and Natural Language Processing to Identify Indicators of COVID-19 in Toronto, Canada

The objective of this study was to investigate whether a rule-based natural language processing (NLP) system, applied to primary care clinical text data, could be used to monitor COVID-19 viral activity in Toronto, Canada. We employed a retrospective cohort design. We included primary care patients...

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Detalles Bibliográficos
Autores principales: Meaney, Christopher, Moineddin, Rahim, Kalia, Sumeet, Aliarzadeh, Babak, Greiver, Michelle
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/PMC9931279/
https://www.ncbi.nlm.nih.gov/pubmed/36812606
http://dx.doi.org/10.1371/journal.pdig.0000150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931279/
https://www.ncbi.nlm.nih.gov/pubmed/36812606
http://dx.doi.org/10.1371/journal.pdig.0000150

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