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首页> 外文期刊>BMC Medical Informatics and Decision Making >A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms
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A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms

机译：病例报告：使用SNOMED CT对药物不良反应术语进行分组

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BackgroundWHO-ART and MedDRA are medical terminologies used for the coding of adverse drug reactions in pharmacovigilance databases. MedDRA proposes 13 Special Search Categories (SSC) grouping terms associated to specific medical conditions. For instance, the SSC "Haemorrhage" includes 346 MedDRA terms among which 55 are also WHO-ART terms. WHO-ART itself does not provide such groupings. Our main contention is the possibility of classifying WHO-ART terms in semantic categories by using knowledge extracted from SNOMED CT. A previous paper presents the way WHO-ART term definitions have been automatically generated in a description logics formalism by using their corresponding SNOMED CT synonyms. Based on synonymy and relative position of WHO-ART terms in SNOMED CT, specialization or generalization relationships could be inferred. This strategy is successful for grouping the WHO-ART terms present in most MedDRA SSCs. However the strategy failed when SSC were organized on other basis than taxonomy.MethodsWe propose a new method that improves the previous WHO-ART structure by integrating the associative relationships included in SNOMED CT.ResultsThe new method improves the groupings. For example, none of the 55 WHO-ART terms in the Haemorrhage SSC were matched using the previous method. With the new method, we improve the groupings and obtain 87% coverage of the Haemorrhage SSC.ConclusionSNOMED CT's terminological structure can be used to perform automated groupings in WHO-ART. This work proves that groupings already present in the MedDRA SSCs (e.g. the haemorrhage SSC) may be retrieved using classification in SNOMED CT.
机译：背景WHO-ART和MedDRA是用于在药物警戒性数据库中编码药物不良反应的医学术语。 MedDRA提出了与特定医学状况相关的13种特殊搜索类别（SSC）分组术语。例如，SSC“出血”包括346个MedDRA术语，其中55个也是WHO-ART术语。 WHO-ART本身不提供此类分组。我们的主要争论是通过使用从SNOMED CT提取的知识将WHO-ART术语分类为语义类别的可能性。先前的论文介绍了使用描述语言对应的SNOMED CT同义词以描述逻辑形式主义自动生成WHO-ART术语定义的方式。根据WHO-ART术语在SNOMED CT中的同义词和相对位置，可以推断出专业化或泛化关系。该策略成功地将大多数MedDRA SSC中存在的WHO-ART术语进行了分组。但是，当以分类法以外的其他方式组织SSC时，该策略失败了。方法我们提出了一种新方法，通过整合SNOMED CT中包含的关联关系来改进以前的WHO-ART结构。结果该新方法改善了分组。例如，出血SSC中的55个WHO-ART术语都没有使用以前的方法匹配。通过这种新方法，我们改进了分组并获得了出血SSC的87％覆盖率。结论SNOMED CT的术语结构可用于在WHO-ART中进行自动分组。这项工作证明可以使用SNOMED CT中的分类来检索MedDRA SSC中已经存在的分组（例如出血SSC）。

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