Using decision fusion methods to improve outbreak detection in disease surveillance
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 where severa...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/146057 |
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