Abstract: 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.

Learning Objective 1: Introduction into fuzzy concepts and their inclusion into Arden Syntax version 2.9

Learning Objective 2: Introduction into clinical fuzzy automata

Learning Objective 3: Building clinical monitoring systems with Fuzzy Arden Syntax, a generalized Arden Syntax

Learning Objective 4: Monitoring therapy entry criteria for ARDS patients as use case


Jeroen de Bruin, Medical University of Vienna
Heinz Steltzer, Trauma Hospital Vienna South
Andrea Rappelsberger, Medical University of Vienna
Klaus-Peter Adlassnig (Presenter)
Medical University of Vienna

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