Associate Professor of Biomedical Informatics

Associate Professor of Computational Biology

Associate Professor of Computer Science

Associate Professor of Information Sciences

Associate Professor of Intelligent Systems

Vice Chair of Department of Biomedical Informatics

Co-Director of the Biomedical Informatics Training Program

Contact Info:

Research Interests

Dr. Cooper’s research interest is in application of decision theory, probability theory, and artificial intelligence to address biomedical informatics research questions, with a focus on causal modeling and discovery in medicine and biology, data mining of medical databases, application of Bayesian statistics in medicine, and biosurveillance.

Education

• 1985 Stanford University, Ph.D. - Medical Information Sciences
• 1986 Stanford University, M.D. - Medicine
• 1987 Stanford University, Postdoctoral Research Fellow, Medical Informatics

Publications

Refereed Journal Publications Since 2005

Middleton B., Hammond, W.E., Brennan, P.F., Cooper, G.F., Accelerating U.S. EHR adoption: How to get there from here. Journal of the American Medical Informatics Association 12 (2005):13-19.

Auble T.E., Hsieh, M., Gardner, W., Cooper, G.F., Stone, R.A., McCausland, J.B., Yealy, D.M., A prediction rule to identify low-risk patients with heart failure, Academic Emergency Medicine 12 (2005) 514-521.

Cooper, G.F., Abraham, V., Aliferis, C.F., Aronis, J.M., Buchanan, B.G., Caruana, R., Fine, M.J., Janosky, J.E., Livingston, G., Mitchell, T., Monti, S., Spirtes, P., Predicting dire outcomes of patients with community acquired pneumonia, Journal of Biomedical Informatics 38 (2005) 347-366.

Wong, W.K., Cooper, G.F., Dash, D.H., Levander, J.D., Dowling, J., Hogan, W.R., Wagner, M.M., Bayesian biosurveillance using multiple data streams, Morbidity and Mortality Weekly Report 54 (2005) 63-69.

Wong, W.K., Moore, A., Cooper, G.F., Wagner, M.W., What’s Strange About Recent Events (WSARE): An algorithm for the early detection of disease outbreaks, Journal of Machine Learning Research 6 (2005) 1961-1998.

Yoo, C., Cooper, G.F., Schmidt, M., A controlled study to evaluate a computer-based microarray experiment-design-recommendation system for gene-regulation pathway discovery, Journal of Biomedical Informatics 39 (2006) 126-146.

Rolka, H., Burkom, H., Cooper, G.F., Kulldorff, M., Madigan, D., Wong, W.K., Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: Research needs. Statistics in Medicine 26 (2007) 1834-1856.

Hogan, W., Cooper, G.F., Wallstrom, G., Wagner, M.W., Depinay, J.M. The Bayesian aerosol release detector: An algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus Anthracis. Statistics in Medicine 26:29; 5225-5252 (2007).

Shen, Y., Adamou, C., Dowling, J.N., Cooper, G.F. Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding. Journal of Biomedical Informatics 41 (2008) 224-231.

Jagan, D., Dowling, J.N., Travers, D., Cooper, G.F., Chapman, W.B. Evaluation of preprocessing techniques for chief complaint classification, Journal of Biomedical Informatics (accepted for publication, available online on 41(2008) 613-623.

Jiang, X.I., Wallstrom, G.L., Cooper, G.F., Wagner, M.M. Bayesian prediction of an epidemic curve. Journal of Biomedical Informatics (2008) DOI information: 10.1016/j.jbi.2008.05.013.

Neill, D.B., Cooper, G.F. A Multivariate Bayesian scan statistic for early event detection and characterization. Machine Learning Journal (to appear).

Refereed Conference Publications Since 2005

Neill, D.B., Moore, A.W., Cooper, G.F. A Bayesian spatial scan statistic. In: Proceedings the Neural Information Processing Systems Conference (NIPS) (2005).

Visweswaran, S., Cooper, G.F. Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2005) 759-763.

Cooper, G.F., Visweswaran, S. Deriving the expected utility of a predictive model when the utilities are uncertain. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2005) 161-165.

Mani, S., Cooper, G.F., Spirtes, P. A theoretical study of Y structures for causal discovery. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (2006).

Hauskrecht, M., Valko, M., Kveton, B., Visweswaran, S., Cooper, G.F. Evidence-based anomaly detection in clinical domains. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2007) 319-232.

Jiang, X., Cooper, G.F. A recursive algorithm for spatial cluster detection. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2007) 369-373.

Valko M, Cooper G, Seybert A, Visweswaran S, Hauskrecht M. Conditional Anomaly Detection Methods for Patient-Management Alert Systems. In: Proceedings of the 25th International Conference on Machine Learning (2008).

Rajiv W, Fridsma DW, Saul MI, Penrod LE, Visweswaran S, Cooper GF, Chapman W. Analysis of a failed clinical decision support system for management of congestive heart failure. Proceedings of the Symposium of the American Medical Informatics Association (2008) 773-777. PMID: 18999183

Grants

Principal Investigator of the following active project:

Bayesian Modeling for Biosurveillance
National Science Foundation (IIS 0325581)
This project is developing and evaluating new Bayesian models and probabilistic inference algorithms for monitoring electronically available healthcare data in order to achieve early, reliable detection of outbreaks of disease.

Lab Personnel

Toni Porterfield — administrative assistant
John Levander — programmer
Xia Jiang — postdoc
Yanna Shen — graduate student
Peter Sutovsky — graduate student