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Building test data from real outbreaks for evaluating detection algorithms
Benchmarking surveillance systems requires realistic simulations of disease outbreaks. However, obtaining these data in sufficient quantity, with a realistic shape and covering a sufficient range of agents, size and duration, is known to be very difficult. The dataset of outbreak signals generated s...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5593515/ https://ncbi.nlm.nih.gov/pubmed/28863159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183992 |
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