医学语言学:自动索引到SNOMED。

F Wingert
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引用次数: 0

摘要

本文综述了医学语言数据处理的最新进展。该领域分为几个主题:(1)形态分析,(2)句法分析,(3)语义分析,(4)语用学。另外还注意到医学命名法和分类作为(自动)索引程序的基础,这些程序在医学信息形式化时是必需的。这些主题通过评估相关的数据结构和用于组织基于语言的医学知识的方法来完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical linguistics: automated indexing into SNOMED.

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.

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