A continuous real-time expert system for computer operations
IBM Journal of Research and Development
Artificial intelligence in medicine: a personal retrospective on its emergence and early evolution
A history of medical informatics
The role of fuzzy logic in the management of uncertainty in expert systems
Fuzzy Sets and Systems
A general expert system design for diagnostic problem solving
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
Completing knowledge by competing hierarchies
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Editorial: AI planning and scheduling in the medical hospital environment
Artificial Intelligence in Medicine
Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions
Journal of Medical Systems
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EXPERT Is a system for designing and building models for consultation. An EXPERT model consists of hypotheses (which can be structured Into causal and taxonomic networks); findings or observations; and decision rules for logically relating these components. A relatively simple language for describing models is employed. Logical and probabilistic rules are restricted to particular types which implicitly order the tasks performed by the control strategies: classification, question selection, and explanation. Explicit representations of decision rules are emphasized, as opposed to suboptimal scoring functions. This results in more easily predictable and correctable performance for a model. The system is currently being used to develop consultation models in domains such as rheumatology, ophthalmology, and endocrinology.