Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
HUGIN: a shell for building Bayesian belief universes for expert systems
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
MUNIN: a causal probabilistic network for interpretation of electromyographic findings
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Comparing risks of alternative medical diagnosis using Bayesian arguments
Journal of Biomedical Informatics
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We describe a prototype probabilistic expert system which has been developed for analysing an adverse drug reaction problem, specifically, drug-induced pseudomembranous colitis. The system incorporates two simple Bayesian networks to model the main influences suspected to play a leading role in the adverse drug reaction. It uses the Lauritzen-Spiegelhalter algorithm for manipulating probability distributions in Bayesian networks.