Graph-Grammar Productions for the Modeling of Medical Dilemmas

Citation: John W. Egar and Mark A. Musen. (1992) Graph-Grammar Productions for the Modeling of Medical Dilemmas. In KSL-92-15, 1992.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	John W. Egar and Mark A. Musen
title	Graph-Grammar Productions for the Modeling of Medical Dilemmas
number	KSL-92-15
institution	Knowledge Systems, AI Laboratory
address	Washington, D.C.
year	1992
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abstract	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 appropriate 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 facilitate the modeling of medical dilemmas and medical plans.

KSL Technical Report ID: KSL-92-15

Abstract	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 appropriate 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 facilitate the modeling of medical dilemmas and medical plans. ing of medical dilemmas and medical plans.
Address	Washington, D.C. +
Author	John W. Egar and Mark A. Musen +
Bibtype	techreport +
Has author	John W. Egar and Mark A. Musen +
Has identifier	KSL-92-15 +
Has publishing details	1992 +
Has title	Graph-Grammar Productions for the Modeling of Medical Dilemmas +
Has where published	KSL-92-15 +
Has year	1992 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-92-15 +
Number	KSL-92-15 +
Process note	YES +
Title	Graph-Grammar Productions for the Modeling of Medical Dilemmas +
Year	1992 +