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- W2566508717 abstract "We review highlights of our research on Pathfinder, a decision-theoretic expert system for hematopathology diagnosis. We have developed techniques for efficiently acquiring, representing, and reasoning with uncertain biomedical knowledge. Specifically, we have developed a methodology for coping with complex dependencies among findings and disease in pathology. The methodology includes an extension of the belief-network representation called similarity networks. Using this methodology, we have constructed a large probabilistic knowledge base for the domain of lymph-node pathology. We have also developed techniques for improving the clarity of explanations through the use of human-oriented abstractions. Finally, we have conducted a formal evaluation of Pathfinder’s diagnostic accuracy. ∗Core research on the Pathfinder project has been supported by the National Library of Medicine under Grant RO1LM04529. Components of the research have been supported by the by the National Aeronautics and Space Administration under Grant NCC-220-51, by the National Science Foundation under Grant IRI8703710, and by the Josiah Macy, Jr. Foundation. Computational support has been provided by the SUMEX-AIM Resource under NIH Grant RR-00785." @default.
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- W2566508717 date "2009-05-28" @default.
- W2566508717 modified "2023-09-28" @default.
- W2566508717 title "Update on the Pathfinder Project" @default.
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