| Abstract
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We introduce graph-grammer production rule … We introduce graph-grammer production rules, which can guide physicians to construct models for normative decision making. A physician describes a medical decision problem using standard terminology, and the graph-grammer system matches a graph-manipulation rule to each of the standard terms. With minimal help from the physician, these graph-manipulation rules can construct an appropirate Bayesian probabilistic network. The physician can then assess the necessary probabilities and utilities to arrive at a rational decision. The grammer relies on prototypical forms that we have observed in models of medical dilemmas. We have found graph grammers to be a concise and expressive formalism for describing prototypical forms, and we believe such grammars can greatly faciliatate the modeling of medical dilemmas and medical plans. ing of medical dilemmas and medical plans.
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| Address
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Washington, D.C. +
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| Author
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John W. Egar +,
Mark A. Musen +
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| Bibtype
|
techreport +
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| Institution
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Knowledge Systems, AI Laboratory +
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| Key
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KSL-92-15 +
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| Modification dateThis property is a special property in this wiki.
|
1 May 2009 13:37:04 +
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| Number
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KSL-92-15 +
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| Tag
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Computer science +
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| Title
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Graph-Grammar Productions for the Modeling of Medical Dilemmas +
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| Tr id
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KSL-92-15 +
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| Year
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1992 +
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| Categories |
Technical Report,
Publication,
KSL Technical Report
|
