Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

BACKGROUND: Traditional surveillance systems produce estimates of influenza-like illness (ILI) incidence rates, but with 1- to 3-week delay. Accurate real-time monitoring systems for influenza outbreaks could be useful for making public health decisions. Several studies have investigated the possibi...

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Detalles Bibliográficos
Autores principales: Poirier, Canelle, Lavenu, Audrey, Bertaud, Valérie, Campillo-Gimenez, Boris, Chazard, Emmanuel, Cuggia, Marc, Bouzillé, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320394/
https://www.ncbi.nlm.nih.gov/pubmed/30578212
http://dx.doi.org/10.2196/11361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320394/
https://www.ncbi.nlm.nih.gov/pubmed/30578212
http://dx.doi.org/10.2196/11361

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