Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Using Bayesian Networks for Diagnostic Reasoning in Penetrating Injury Assessment
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Computer Methods and Programs in Biomedicine
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Enhanced qualitative probabilistic networks for resolving trade-offs
Artificial Intelligence
Computer Methods and Programs in Biomedicine
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Computers and Electronics in Agriculture
Comparing risks of alternative medical diagnosis using Bayesian arguments
Journal of Biomedical Informatics
The Knowledge Engineering Review
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
On the detection of conflicts in diagnostic Bayesian networks using abstraction
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Reduction of computational complexity in Bayesian networksthrough removal of weak dependences
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Additive belief-network models
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Sensor validation using dynamic belief networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Modeling uncertain temporal evolutions in model-based diagnosis
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
ARCO1: an application of belief networks to the oil market
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A Bayesian method for constructing Bayesian belief networks from databases
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A sensitivity analysis of pathfinder: a follow-up study
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Knowledge acquisition for diagnosis in cellular networks based on bayesian networks
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
A Bayesian expert system for the analysis of an adverse drug reaction
Artificial Intelligence in Medicine
From certainty factors to belief networks
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care
Artificial Intelligence in Medicine
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
Experience gained through building a causal network for interpretation of electromyographic findings has shown that probabilistic inference is a realistic possibility in networks of non-trivial size. The use of nodes with many internal states has made it possible to make a conceptually simple and compact representation of knowledge. "Deep knowledge" in the form of pathophysiological models are used to reduce the problem of estimating thousands of conditional probabilities to a manageble size. The network has built-in mechanisms that will detect when the network is confronted with a situation outside the limits of its own knowledge and it handles conflicting evidence in a simple and consistent way.