基于HL7 Arden语法的模糊控制聚合在临床决策支持中的可行性。

Moritz Grob, Julia Liepold, Leonhard Hauptfeld, Vladik Kreinovich, Robert A Jenders, Klaus-Peter Adlassnig
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引用次数: 0

摘要

模糊控制系统为不确定和重叠变量状态的临床决策支持提供了一个强大的框架。从2.9版开始,HL7 Arden Syntax原生支持模糊逻辑结构,从而实现更准确、更有表现力的医疗逻辑。本可行性研究探讨模糊聚合的Arden语法临床决策支持。我们实现了模糊控制系统fuzzykb断奶的规则,这是一个支持呼吸机治疗决策的模糊控制系统,建议根据PaO2和PaCO2水平调整FiO2。它使用Medexter Healthcare的Arden Syntax编译器执行,展示了Arden Syntax中本地模糊逻辑在实时、可解释的临床决策支持中的实际效用。在实施过程中的观察导致了进一步改进标准的建议,关于模糊操作中更严格的数据类型强制,增强基于arden语法的系统的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility of Fuzzy Control Aggregation in Clinical Decision Support Using HL7 Arden Syntax.

Fuzzy control systems provide a robust framework for clinical decision support in settings characterized by uncertainty and overlapping variable states. Since Version 2.9, HL7 Arden Syntax has natively supported fuzzy logic constructs, enabling more accurate and expressive medical logic. This feasibility study explores fuzzy aggregation in Arden Syntax for clinical decision support. We implement a rule from FuzzyKBWean, a fuzzy control system supporting ventilator therapy decisions, recommending adjustment of FiO2 based on PaO2 and PaCO2 levels. It is executed using Medexter Healthcare's Arden Syntax compiler, demonstrating the practical utility of native fuzzy logic in Arden Syntax for real-time, interpretable clinical decision support. Observations during implementation led to a suggestion for further refinement of the standard regarding stricter data type enforcement in fuzzy operations, enhancing the robustness of Arden-Syntax-based systems.

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