Tiffe Sven
BD DHP, Siemens Medical Solutions, D-91052 Erlangen, Germany.
Proc AMIA Symp. 2002:796-800.
Diagnostic and therapeutic decisions in the domain of medicine usually depend on observed or measured data, such as observations made during an examination, or laboratory data. Furthermore, such decisions are often based on abstract domain knowledge. For decision-making, it is necessary to establish relationships between concrete data and abstract knowledge. These relationships can be defined in a formal way by fuzzy set theory. We extended the Arden Syntax for Medical Logic Systems, which can be used for decision support in the medical domain, to include concepts of fuzzy set theory. This paper presents extensions for defining linguistic variables by Arden Syntax, which can formalize different states of an abstract concept, such as different levels of blood glucose. Arden Syntax linguistic variables can be used within conditional expressions in decision rules or within fuzzy control rules for computer-aided diagnosis and therapy.
医学领域的诊断和治疗决策通常取决于观察到的或测量的数据,例如检查期间所做的观察或实验室数据。此外,此类决策往往基于抽象的领域知识。为了进行决策,有必要在具体数据和抽象知识之间建立联系。这些联系可以通过模糊集理论以形式化的方式来定义。我们扩展了用于医学逻辑系统的 Arden 语法(可用于医学领域的决策支持),以纳入模糊集理论的概念。本文介绍了通过 Arden 语法定义语言变量的扩展内容,该语法可将抽象概念的不同状态形式化,例如血糖的不同水平。Arden 语法语言变量可用于决策规则的条件表达式中,或用于计算机辅助诊断和治疗的模糊控制规则中。