Egar J W, Musen M A
Section on Medical Informatics, Stanford University School of Medicine, CA.
Proc Annu Symp Comput Appl Med Care. 1992:349-53.
We introduce graph-grammar 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-grammar 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 grammar relies on prototypical forms that we have observed in models of medical dilemmas. We have found graph grammars 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.
我们引入了图形语法产生式规则，它可以指导医生构建用于规范决策的模型。医生使用标准术语描述医疗决策问题，图形语法系统将图形操作规则与每个标准术语进行匹配。在医生的最少帮助下，这些图形操作规则可以构建一个合适的贝叶斯概率网络。然后医生可以评估必要的概率和效用，以做出合理的决策。该语法依赖于我们在医疗困境模型中观察到的原型形式。我们发现图形语法是一种用于描述原型形式的简洁且富有表现力的形式体系，并且我们相信这样的语法可以极大地促进医疗困境和医疗计划的建模。
