Rule-based anomaly pattern detection for detecting disease outbreaks
Eighteenth national conference on Artificial intelligence
Bayesian biosurveillance of disease outbreaks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Algorithms for rapid outbreak detection: a research synthesis
Journal of Biomedical Informatics
Ontology-Centered Syndromic Surveillance for Bioterrorism
IEEE Intelligent Systems
Artificial Intelligence in Medicine
MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
A spatio temporal visualizer for law enforcement
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
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In response to the critical need of early detection of potential infectious disease outbreaks or bioterrorism events, public health syndromic surveillance systems have been rapidly developed and deployed in recent years. This paper surveys major research and system development issues related to syndromic surveillance systems and discusses recent advances in this important area of security informatics study.