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Coping with the Variability of Medical Terms

机译:应对医学术语的变异性

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Objectives: To cope with medical terms, which present a high variability of expression through a single natural language, in the sense that any term may be reformulated in hundred of different ways. Methods: A typology of term variants is presented as a systematic approach in order to favour the implementation of an exhaustive solution Then, an algorithm able to handle all variants is designed. Results: Using MetaMap, single terms are analyzed with a success rate varying between 68 and 88 %; the algorithm presented in this paper improves this situation. Conclusions: This experience shows that a semantic driven method, based on a thesaurus, provides a satisfactory solution to the problem of variability of a single term. The presented typology is representative of most variants in a language.
机译:目标:应对医学术语,这是通过单一的自然语言表达的高度变化,从某种程度上可以以百种不同的方式重新重整。方法:术语变体的类型化被呈现为系统方法,以便利用穷举解决方案,设计了一种能够处理所有变体的算法。结果:使用METAMAP,分析单个术语,成功率在68和88%之间变化;本文呈现的算法改善了这种情况。结论:这种经验表明,基于词库的语义驱动方法为单个术语的可变性问题提供了令人满意的解决方案。所呈现的类型是代表语言中大多数变体的代表。

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