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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Detalles Bibliográficos
Autores principales: Texier, Gaëtan, Alldoji, Rodrigue S., Diop, Loty, Meynard, Jean-Baptiste, Pellegrin, Liliane, Chaudet, Hervé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402142/
https://www.ncbi.nlm.nih.gov/pubmed/30837003
http://dx.doi.org/10.1186/s12911-019-0774-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402142/
https://www.ncbi.nlm.nih.gov/pubmed/30837003
http://dx.doi.org/10.1186/s12911-019-0774-3

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