Monday March 6th 4:00 - 4:50pm KEC 1001
Weng-Keen Wong Assistant Professor School of EECS Oregon State University PANDA: A Bayesian biosurveillance algorithm for detecting a large-scale anthrax attack Abstract Syndromic surveillance is a field that involves the collection and analysis of data that precede diagnosis. The goal of syndromic surveillance is the early detection of both naturally occurring and bioterrorist-induced disease outbreaks. The scenario that is of greatest concern to syndromic surveillance systems is a large-scale release of inhalational anthrax. Data mining algorithms play a critical role in analysis of syndromic surveillance data by detecting anomalies that correspond to disease outbreaks. This talk will present the Population-wide Anomaly Detection and Assessment (PANDA) algorithm, which is specifically designed to monitor health-care data for the onset of an outbreak caused by an outdoor, airborne release of inhalational anthrax. At the heart of the PANDA algorithm is a causal Bayesian network which models the spatio-temporal effects of the outbreak on a population. The most unique aspect of the PANDA algorithm is its attempt to model every individual in the population under surveillance. Biography: Weng-Keen Wong is an Assistant Professor of Computer Science at Oregon State University. He received his Ph.D. (2004) and M.S. (2001) in Computer Science at Carnegie Mellon University, and his B.Sc. (1997) from the University of British Columbia. His research areas are in data mining and machine learning, with specific interests in anomaly detection, surveillance algorithms, and mining large scale datasets. His Ph.D. thesis was entitled "Data Mining Algorithms for the Early Detection of Disease Outbreaks" and he is involved in the field of disease outbreak surveillance. _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium _______________________________________________ eecs-office mailing list [EMAIL PROTECTED] https://secure.engr.oregonstate.edu/mailman/listinfo/eecs-office _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium
