Rassinoux A M, Miller R A, Baud R H, Scherrer J R
Division of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
Proc AMIA Annu Fall Symp. 1996:264-8.
Structured representation of medical information is essential for ensuring the accuracy and reliability of computerized decision support applications. Such systems require input that is error-free and clinically pertinent. This paper reviews existing medical models, particularly those exploited for natural language understanding, and highlights modeling features important to future indexing of medical texts with controlled vocabularies. A hybrid representation derived from existing frame-based and conceptual-graph-based systems is proposed to represent relevant medical terms as used by experts.
医学信息的结构化表示对于确保计算机化决策支持应用程序的准确性和可靠性至关重要。此类系统需要无错误且与临床相关的输入。本文回顾了现有的医学模型，特别是那些用于自然语言理解的模型，并强调了对于未来使用受控词汇表对医学文本进行索引很重要的建模特征。提出了一种从现有的基于框架和基于概念图的系统派生的混合表示法，以表示专家使用的相关医学术语。
