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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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| Publié dans: | BMC Med Inform Decis Mak |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2019
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| Sujets: | |
| Accès en ligne: | 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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