首页> 外文会议>4th ACM international workshop on data and text mining in bioinformatics 2010 >Combining Syntactic Information and Domain-specific Lexical Patterns to Extract Drug-Drug Interactions from Biomedical Texts
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Combining Syntactic Information and Domain-specific Lexical Patterns to Extract Drug-Drug Interactions from Biomedical Texts

机译:结合句法信息和特定领域的词汇模式从生物医学文献中提取药物相互作用

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摘要

A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. Information Extraction (IE) techniques can provide an interesting way of reducing the time spent by health care professionals on reviewing the literature. Nevertheless, no approach has been carried out to extract DDI from texts. To the best of our knowledge, this work proposes the first integral solution for the automatic extraction of DDI from biomedical texts.
机译:当一种药物影响另一种药物的水平或活性时,就会发生药物相互作用。科学文献的数量不断增加,使医疗保健专业人员不知所措,他们希望了解有关DDI的所有已发布研究的最新信息。信息提取(IE)技术可以提供一种有趣的方式来减少卫生保健专业人员在查阅文献时所花费的时间。但是,尚未采取任何方法从文本中提取DDI。据我们所知,这项工作提出了第一个完整的解决方案,用于从生物医学文本中自动提取DDI。

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