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What is the Coverage of SNOMED CT? on Scientific Medical Corpora?

机译：环状CT的覆盖范围是多少？在科学医学Corpora上？

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摘要

This paper reports on the results of a large scale mapping of SNOMED CT on scientific medical corpora. The aim is to automatically access the validity, reliability and coverage of the Swedish SNOMED-CT translation, the largest, most extensive available resource of medical terminology. The method described here is based on the generation of predominantly safe harbor term variants which together with simple linguistic processing and the already available SNOMED term content are mapped to large corpora. The results show that term variations are very frequent and this may have implication on technological applications (such as indexing and information retrieval, decision support systems, text mining) using SNOMED CT. Naive approaches to terminology mapping and indexing would critically affect the performance, success and results of such applications. SNOMED CT appears not well-suited for automatically capturing the enormous variety of concepts in scientific corpora (only 6,3% of all SNOMED terms could be directly matched to the corpus) unless extensive variant forms are generated and fuzzy and partial matching techniques are applied with the risk of allowing the recognition of a large number of false positives and spurious results.
机译：本文报告了科学医学Corpora的Snomed CT大规模绘图的结果。目的是自动访问瑞典Snomed-CT翻译的有效性，可靠性和覆盖范围，最大，最广泛的医学术语资源。这里描述的方法基于主要的安全宿舍术语变体的产生，其与简单的语言处理一起，并且已经可用的SnOMED术语内容被映射到大型语料库。结果表明，术语变化非常频繁，这可能对使用SnoMed CT的技术应用（例如索引和信息检索，决策支持系统，文本挖掘）有所意义。术语映射和索引的天真方法将严重影响这些应用程序的性能，成功和结果。由于产生了广泛的变体形式，除非产生了广泛的变体形式，尚未适合自动捕捉科学集团的巨大概念（只有6,3％的SNOMED术语，也可以直接匹配到语料库中。允许允许识别大量误报和虚假结果的风险。

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