Bernardo, J., Smith, A. (1994). Bayesian Theory. New York: John Wiley & Sons.

Buckeridge, D. L., Burkom, H., Moore, A., et al. (2004). Evaluation of syndromic surveillance systems: design of an epidemic simulation model. MMWR Morb Mortal Wkly Rep 53(Suppl):137-43.

Carlstein, E. (1988). Nonparametric change-point estimation. Ann Stats 16:188-97.

Cooper, G., Dash, D., Levander, J., et al. (2004). Bayesian biosurveillance of disease outbreaks. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence 94-103.

Fawcett,T., Provost, F. (1999). Activity monitoring: noticing interesting changes in behavior. In: Proceedings of Fifth International Conference on Knowledge Discovery and Data Mining, 53-62.

Hamilton, J. (1994). Time Series Analysis. Princeton, NJ: Princeton University Press.

Hanna, S., Briggs, G., Hosker, J. (1982). Handbook of Atmospheric Diffusion. DOE/TIC-11223. Washington, DC: U.S. Department of Energy.

Hugin Expert A/S. (2004). Hugin, Version 6.2.

Koller, D., Pfeffer, A. (1997). Object-Oriented Bayesian networks. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence, 302-13.

Kuldorff, M. (2001). Prospective time periodic geographical disease surveillance using a scan statistic. J R Stat Soc 164:61-72.

Kulldorff, M. (1997). A spatial scan statistic. Commun Stats Theory Methods 26:1481-96.

Moore, A., Cooper, G.,Tsui, R., et al. (2003). Summary of biosurveillance-relevant technologies. Pittsburgh, PA: Computer Science Department, Carnegie Mellon University. http://www-2. cs. cmu. edu/~awm/biosurv-methods.pdf.

Neapolitan, R. E. (2004). Learning Bayesian Networks. Upper Saddle River, NJ: Prentice Hall.

Neill, D., Moore, A. (2003). A fast multiresolution method for detection of significant spatial disease clusters. Adv Neural Info Processing Syst.

Rabiner, L. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 77:257-85.

Reis, B., Mandl, K. (2003). Time series modeling for syndromic surveillance. BMC Med Inform Decision Making 3:2.

Serfling, R. (1963). Methods for current statistical analysis of excess pneumonia-influenza deaths. Public Health Rep 78:494-506.

Srinivas, S. (1994). A probabilistic approach to hierarchical model-based diagnosis. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence, 538-45.

Tsui, F., Wagner, M., Dato, V., et al. (2001). Value of ICD-9-coded chief complaints for detection of epidemics. In: Proceedings of Fall Symposium of American Medical Informatics Association, 711-715.

Williamson, G., Hudson, G. (1999). A monitoring system for detecting aberrations in public health surveillance reports. Stats Med 18:3283-98.

Wong,W. (2004). Data Mining for Early Disease Outbreak Detection. Doctoral dissertation. Carnegie Mellon University.

Wong, W., Cooper, G., Dash, D., et al. (2005). Bayesian biosurveillance using multiple data streams. MMWR Morb Mortal Wkly Rep (Suppl) 54:63-9.

Wong, W., Moore, A., Cooper, G., et al. (2003). Bayesian network anomaly pattern detection for disease outbreaks. In: Proceedings of the Conference on Machine Learning, 808-15.

Xiang, Y., Jensen, F. (1999). Inference in multiply sectioned Bayesian networks with extended Shafer-Shenoy and lazy propagation. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence, 680-7.

Was this article helpful?

0 0

Post a comment