Suppr超能文献

Arden语法的基本原理。

Rationale for the Arden Syntax.

作者信息

Hripcsak G, Ludemann P, Pryor T A, Wigertz O B, Clayton P D

机构信息

Columbia-Presbyterian Medical Center, New York.

出版信息

Comput Biomed Res. 1994 Aug;27(4):291-324. doi: 10.1006/cbmr.1994.1023.

Abstract

The Arden Syntax, a language designed for writing and sharing task-specific knowledge for Medical Logic Modules (MLMs), has been recently accepted as a standard by the ASTM. The syntax is concerned with the critical task of sharing medical knowledge bases across many institutions. Because of the relative lack of agreement on vocabularies and data standards and because of the many other obstacles, the developers of the Arden Syntax took a pragmatic, straightforward approach that has borne fruit in a very short period of time. The syntax provides a vehicle for the health care community to begin sharing, so that we can see what works and what does not work, and we can begin to address the critical obstacles. In designing a language like the Arden Syntax, the authors make many decisions--but the final document gives only the result of these decisions without any explanation. By writing down the rationale behind the design of the syntax, we hope to aid users of the language, implementors of the language, and future designers of new languages.

摘要

阿登句法是一种为编写和共享医学逻辑模块(MLM)的特定任务知识而设计的语言,最近已被美国材料与试验协会(ASTM)接受为标准。该句法涉及跨多个机构共享医学知识库这一关键任务。由于在词汇和数据标准方面相对缺乏一致性,以及存在许多其他障碍,阿登句法的开发者采取了务实、直接的方法,并且在很短的时间内就取得了成果。该句法为医疗保健界开始共享提供了一种手段,以便我们能够了解哪些可行、哪些不可行,并且能够开始解决关键障碍。在设计像阿登句法这样的语言时,作者做出了许多决策——但最终文档只给出了这些决策的结果,没有任何解释。通过写下句法设计背后的基本原理,我们希望能帮助该语言的使用者、该语言的实现者以及未来新语言的设计者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验