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An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text

机译:比较词汇和统计方法以从临床免费文本中提取MeSH术语的实验

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摘要

Abstract Objective: A primary goal of the University of Pittsburgh's 1990-94 UMLS-sponsored effort was to develop and evaluate PostDoc (a lexical indexing system) and Pindex (a statistical indexing system) comparatively, and then in combination as a hybrid system. Each system takes as input a portion of the free text from a narrative part of a patient's electronic medical record and returns a list of suggested MeSH terms to use in formulating a Medline search that includes concepts in the text. This paper describes the systems and reports an evaluation. The intent is for this evaluation to serve as a step toward the eventual realization of systems that assist healthcare personnel in using the electronic medical record to construct patient-specific searches of Medline.
机译:摘要目的:匹兹堡大学(University of Pittsburgh)在1990-94年度由UMLS赞助的工作的主要目标是比较地开发和评估PostDoc(词汇索引系统)和Pindex(统计索引系统),然后将其组合为一个混合系统。每个系统从患者电子病历的叙述部分中获取一部分自由文本作为输入,并返回建议的MeSH术语列表,以用于制定包括文本中概念的Medline搜索。本文介绍了系统并报告了评估。此评估的目的是朝着最终实现系统的步骤迈进,该系统可帮助医疗保健人员使用电子病历来构建针对患者的Medline搜索。

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