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医学语言学:自动索引至医学系统命名法(SNOMED)

Medical linguistics: automated indexing into SNOMED.

作者信息

Wingert F

机构信息

Institute for Medical Informatics and Biomathematics, University of Münster, Federal Republic of Germany.

出版信息

Crit Rev Med Inform. 1988;1(4):333-403.

PMID:3288353
Abstract

This paper reviews the state of the art in processing medical language data. The area is divided into the topics: (1) morphologic analysis, (2) syntactic analysis, (3) semantic analysis, and (4) pragmatics. Additional attention is given to medical nomenclatures and classifications as the bases of (automated) indexing procedures which are required whenever medical information is formalized. These topics are completed by an evaluation of related data structures and methods used to organize language-based medical knowledge.

摘要

本文综述了医学语言数据处理的当前技术水平。该领域分为以下几个主题:(1)形态分析,(2)句法分析,(3)语义分析,以及(4)语用学。医学术语和分类作为(自动化)索引程序的基础受到了额外关注,这些索引程序在医学信息形式化时是必需的。通过对用于组织基于语言的医学知识的相关数据结构和方法的评估,完善了这些主题。

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