In: Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care (SCAMC95), 1995.

Clinical Simulation using Context­Sensitive Temporal Probability Models

Peter Haddawy, Ph.D., James W. Helwig, B.S., Liem Ngo, M.S., Robert A. Krieger, M.S. Department of Electrical Engineering and Computer Science University of Wisconsin­Milwaukee, Milwaukee, Wisconsin 53201


We present a language for representing context­ sensitive temporal probabilistic knowledge. Con­ text constraints allow inference to be focused on only the relevant portions of the probabilistic knowledge. We provide a declarative semantics for our language and an implemented algorithm (BNG) that generates Bayesian networks to com­ pute the posterior probabilities of queries. We il­ lustrate the use of the BNG system by applying it to the problem of modeling the effects of medica­ tions and other interventions on the condition of a patient in cardiac arrest.