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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-03-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-019-0774-3 |