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Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax

机译:使用模糊Arden语法创建临床模糊自动机

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摘要

Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility that model the unsharpness of the boundaries of linguistic terms. Propositional uncertainty due to incomplete knowledge of relationships between clinical linguistic concepts is modeled with fuzzy logic. Fuzzy Arden Syntax also supports the construction of fuzzy state monitors. The latter are defined as monitors that employ fuzzy automata to observe gradual transitions between different stages of disease. As a use case, we re-implemented FuzzyARDS, a previously published clinical monitoring system for patients suffering from acute respiratory distress syndrome (ARDS). Using the re-implementation as an example, we show how key concepts of fuzzy automata, i.e., fuzzy states and parallel fuzzy state transitions, can be implemented in Fuzzy Arden Syntax. The results showed that fuzzy state monitors can be implemented in a straightforward manner.
机译:模糊集和模糊逻辑的形式构造已合并到Arden语法版本2.9(Fuzzy Arden语法)中。使用模糊集时,测得或观察到的数据与语言术语之间的关系表示为对语言术语边界不清晰建模的兼容程度。使用模糊逻辑对由于临床语言概念之间的关系的不完全了解而导致的命题不确定性建模。 Fuzzy Arden语法还支持构造模糊状态监视器。后者定义为使用模糊自动机观察疾病不同阶段之间逐渐过渡的监视器。作为用例,我们重新实现了FuzzyARDS,这是先前发布的针对患有急性呼吸窘迫综合征(ARDS)的患者的临床监测系统。以重新实现为例,我们展示了如何以模糊Arden语法实现模糊自动机的关键概念,即模糊状态和并行模糊状态转换。结果表明,可以以简单的方式实现模糊状态监控器。

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