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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
We present a machine learning-based methodology capable of providing real-time (“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly real-time hospital visit records, and data from a par...
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| Pubblicato in: | PLoS Comput Biol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4626021/ https://ncbi.nlm.nih.gov/pubmed/26513245 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004513 |
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