一种基于医学语言处理和XML的词汇拓展与可视化方法。
A method for vocabulary development and visualization based on medical language processing and XML.
作者信息
Liu H, Friedman C
机构信息
Computer Science Division, Graduate School and University Center of CUNY, USA.
出版信息
Proc AMIA Symp. 2000:502-6.
Abstract
A comprehensive controlled clinical vocabulary is critical to the effectiveness of many automated clinical systems. Vocabulary development and maintenance is an important aspect of a vocabulary, and should be linked to terms physicians actually use. This paper presents a method to help vocabulary builders capture, visualize, and analyze both compositional and quantitative information related to terms physicians use. The method includes several components: an MLP system, a corpus of relevant reports and a visualization tool based on XML and JAVA.
摘要
一个全面的受控临床词汇表对于许多自动化临床系统的有效性至关重要。词汇表的开发和维护是词汇表的一个重要方面，并且应该与医生实际使用的术语相关联。本文提出了一种方法，以帮助词汇表构建者捕获、可视化和分析与医生使用的术语相关的组成和定量信息。该方法包括几个组件：一个多层感知器（MLP）系统、一个相关报告的语料库以及一个基于XML和JAVA的可视化工具。
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