Using decision fusion methods to improve outbreak detection in disease surveillance

Abstract 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 (i...

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Bibliographic Details
Main Authors: Gaëtan Texier, Rodrigue S. Allodji, Loty Diop, Jean-Baptiste Meynard, Liliane Pellegrin, Hervé Chaudet
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12911-019-0774-3