Real-time clinician text feeds from electronic health records

Analyses of search engine and social media feeds have been attempted for infectious disease outbreaks, but have been found to be susceptible to artefactual distortions from health scares or keyword spamming in social media or the public internet. We describe an approach using real-time aggregation o...

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Detalles Bibliográficos
Autores principales: Teo, James T. H., Dinu, Vlad, Bernal, William, Davidson, Phil, Oliynyk, Vitaliy, Breen, Cormac, Barker, Richard D., Dobson, Richard J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904856/
https://www.ncbi.nlm.nih.gov/pubmed/33627748
http://dx.doi.org/10.1038/s41746-021-00406-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904856/
https://www.ncbi.nlm.nih.gov/pubmed/33627748
http://dx.doi.org/10.1038/s41746-021-00406-7

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