A Comparative Study of the Arden Syntax and GDL Clinical Knowledge Representation Languages

被引：1

作者：

de Bruin, Jeroen S. ^{[1
]}

Chen, Rong ^{[2
,3
]}

Rappelsberger, Andrea ^{[4
]}

Adlassnig, Klaus-Peter ^{[4
,5
]}

机构：

[1] FH Joanneum Univ Appl Sci GmbH, Inst eHlth, Eckertstr 30i, A-8020 Graz, Austria

[2] Cambio Healthcare Syst, Stockholm, Sweden

[3] Karolinska Inst, Hlth Informat Ctr, LIME, Solna, Sweden

[4] Med Univ Vienna, Sect Artificial Intelligence & Decis Support, Vienna, Austria

[5] Medexter Healthcare GmbH, Vienna, Austria

来源：

IMPORTANCE OF HEALTH INFORMATICS IN PUBLIC HEALTH DURING A PANDEMIC | 2020年 / 272卷

关键词：

Decision Support Systems; Clinical; Arden Syntax; Guideline Definition Language;

D O I：

10.3233/SHTI200525

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

The expressiveness of a medical knowledge representation language has significant impact on the effectiveness of a knowledge-based clinical decision support system. We assess the expressiveness of two such languages, Arden Syntax and the Guideline Definition Language. Using data extracted from both languages' specifications, we quantify expressiveness by means of language syntax and the number of supported operators. Preliminary results show that Arden Syntax is a more dynamic standard, having better readability and a higher number and more diverse operators than GDL. In contrast, GDL is a more rigid language that utilizes an underlying data model specification in the openEHR framework.

引用

页码：187 / 190

页数：4

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