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POMELO: Medline corpus with manually annotated food-drug interactions

机译:POMELO:Medline语料库,带有手动注释的食品-药物交互作用

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摘要

When patients take more than one medication, they may be at risk of drug interactions, which means that a given drug can cause unexpected effects when taken in combination with other drugs. Similar effects may occur when drugs are taken together with some food or beverages. For instance, grapefruit has interactions with several drugs, because its active ingredients inhibit enzymes involved in the drugs metabolism and can then cause an excessive dosage of these drugs. Yet, information on food/drug interactions is poorly researched. The current research is mainly provided by the medical domain and a very tentative work is provided by computer sciences and NLP domains. One factor that motivates the research is related to the availability of the annotated corpora and the reference data. The purpose of our work is to describe the rationale and approach for creation and annotation of scientific corpus with information on food/drug interactions. This corpus contains 639 MEDLINE citations (titles and abstracts), corresponding to 5,752 sentences. It is manually annotated by two experts. The corpus is named POMELO. This annotated corpus will be made available for the research purposes.
机译:当患者服用多种药物时,他们可能会有药物相互作用的风险,这意味着给定药物与其他药物合用时可能会产生意想不到的效果。当药物与某些食物或饮料一起服用时,可能会发生类似的效果。例如,葡萄柚与几种药物有相互作用,因为葡萄柚的活性成分会抑制药物代谢中涉及的酶,从而导致过量使用这些药物。然而,关于食物/药物相互作用的信息研究很少。目前的研究主要是由医学领域提供的,而非常科学的工作是由计算机科学和NLP领域提供的。推动研究的一个因素与带注释的语料库和参考数据的可用性有关。我们工作的目的是用有关食物/药物相互作用的信息来描述创建和注释科学语料库的原理和方法。该语料库包含639条MEDLINE引文(标题和摘要),对应于5,752个句子。它由两位专家手动注释。语料库命名为POMELO。该带注释的语料将可用于研究目的。

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  • 来源
    《Biomedical NLP workshop 2017》|2017年|73-80|共8页
  • 会议地点 Varna(BG)
  • 作者单位

    LIMSI, CNRS, Universite Paris-Saclay, Orsay, France,Universite Paris 13, Sorbonne Paris Cite, Villetaneuse, France;

    CHU de Bordeaux, Pole de sante publique, Service d'information medicale, Bordeaux, France;

    Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, team ERIAS, UMR 1219, F-33000 Bordeaux, France;

    CNRS UMR 8163 STL, Universite Lille 3, 59653 Villeneuve d'Ascq, France;

    CHU de Bordeaux, Pole de sante publique, Service d'information medicale, Bordeaux, France,Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, team ERIAS, UMR 1219, F-33000 Bordeaux, France;

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  • 正文语种 eng
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