Zeng Q, Cimino J J
Department of Medical Informatics, Columbia University, New York, New York, USA.
Proc AMIA Annu Fall Symp. 1996:105-9.
This paper presents our work in automated mapping of medical vocabularies to the National Library of Medicine's Unified Medical Language System (UMLS). We used the UMLS Knowledge Source (KS) tool to map terms from several sources to UMLS Metathesaurus concepts. We compared performance of the KS tools with our own Minimal Representable Units Method (MRUM). The KS tools were able to map terms from 13% to 54% of the time, depending on the term set and the KS options used. Our MRUM method mapped between 96% and 99% of the terms. Based on our experience, we believe that questions remain about the best method by which the UMLS can be used to achieve automated term translation.
本文介绍了我们在将医学词汇自动映射到美国国立医学图书馆统一医学语言系统(UMLS)方面所做的工作。我们使用UMLS知识源(KS)工具将来自多个来源的术语映射到UMLS元词表概念。我们将KS工具的性能与我们自己的最小可表示单元方法(MRUM)进行了比较。KS工具能够在13%至54%的时间内映射术语,这取决于术语集和所使用的KS选项。我们的MRUM方法映射了96%至99%的术语。根据我们的经验,我们认为关于使用UMLS实现自动术语翻译的最佳方法仍存在问题。