A model and stack implementation of multiple environments
Communications of the ACM
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Artificial intelligence in medicine: a personal retrospective on its emergence and early evolution
A history of medical informatics
Panel on dealing with uncertainty
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
XPLAIN: a system for creating and explaining expert consulting programs
Artificial Intelligence
Model-based diagnosis in a power distribution testbed
ECBS'97 Proceedings of the 1997 international conference on Engineering of computer-based systems
Knowledge acquisition from multiple experts
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
Assembling the best explanation
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
A knowledge-based clinical toxicology consultant for diagnosing single exposures
Artificial Intelligence in Medicine
The role of essential explanation in abduction
Artificial Intelligence in Medicine
Managing uncertainty in diagnosis of acute coronaric ischemia
Artificial Intelligence in Medicine
Methodological principles in medical knowledge programming: part I
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Utilizing a functional approach for modeling biological systems
Mathematical and Computer Modelling: An International Journal
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The INTERNIST system, which is a computer-based diagnostic problem solver having Internal Medicine as i ts domain of discourse, employs a novel attention focusing heuristic in order to deal sequentially with the component parts of a complex clinical problem. The strategy of sequential problem formation and solution has proved to be effective in sorting out the complexities and rendering a correct diagnosis in the great majority of clinical cases tested. Experience with the system suggests, however, that many aspects of the search process could be significantly enhanced if it were possible to attend to the various component problems and their interrelationships simultaneously. Recent work on a successor system has been directed towards the development of strategies for the synthesis and analysis of composite hypotheses, which may be expected to yield more rapid convergence to the correct conclusion in many cases, and in at least some cases to prevent missed diagnoses.