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Using decision fusion methods to improve outbreak detection in disease surveillance

BACKGROUND: When outbreak detection algorithms (ODAs) are considered individually, the task of outbreak detection can be seen as a classification problem and the ODA as a sensor providing a binary decision (outbreak yes or no) for each day of surveillance. When they are considered jointly (in cases...

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Detalhes bibliográficos
Publicado no:BMC Med Inform Decis Mak
Main Authors: Texier, Gaëtan, Alldoji, Rodrigue S., Diop, Loty, Meynard, Jean-Baptiste, Pellegrin, Liliane, Chaudet, Hervé
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6402142/
https://ncbi.nlm.nih.gov/pubmed/30837003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0774-3
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