CAUSAL BAYESIAN REASONING IN MEDICINE
- 1 May 1992
- journal article
- research article
- Published by Taylor & Francis in Cybernetics and Systems
- Vol. 23 (3-4), 417-429
- https://doi.org/10.1080/01969729208927473
Abstract
We propose a knowledge representation architecture organized in three levels—a causal network (containing the domain knowledge), medical strategies and causal reasoning—and expose the fundamentals of a mathematical model for computing probaility through the application of Bayes' theorem in a causal network.Keywords
This publication has 8 references indexed in Scilit:
- Medical expert systems based on causal probabilistic networksInternational Journal of Bio-Medical Computing, 1991
- Uncertainty management in expert systemsIEEE Expert, 1990
- The computational complexity of probabilistic inference using bayesian belief networksArtificial Intelligence, 1990
- Fusion, propagation, and structuring in belief networksArtificial Intelligence, 1986
- Independence assumptions and Bayesian updatingArtificial Intelligence, 1985
- The epistemology of a rule-based expert system —a framework for explanationArtificial Intelligence, 1983
- Categorical and probabilistic reasoning in medical diagnosisArtificial Intelligence, 1978
- A model-based method for computer-aided medical decision-makingArtificial Intelligence, 1978