EventEpi—A natural language processing framework for event-based surveillance

According to the World Health Organization (WHO), around 60% of all outbreaks are detected using informal sources. In many public health institutes, including the WHO and the Robert Koch Institute (RKI), dedicated groups of public health agents sift through numerous articles and newsletters to detec...

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Detalles Bibliográficos
Autores principales: Abbood, Auss, Ullrich, Alexander, Busche, Rüdiger, Ghozzi, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717563/
https://www.ncbi.nlm.nih.gov/pubmed/33216746
http://dx.doi.org/10.1371/journal.pcbi.1008277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717563/
https://www.ncbi.nlm.nih.gov/pubmed/33216746
http://dx.doi.org/10.1371/journal.pcbi.1008277

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