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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...
Tallennettuna:
| Julkaisussa: | JMIR Public Health Surveill |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
JMIR Publications
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6320394/ https://ncbi.nlm.nih.gov/pubmed/30578212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/11361 |
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