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Using description logics to evaluate the consistency of drug-class membership relations in NDF-RT

机译:使用描述逻辑评估NDF-RT中药物类别成员关系的一致性

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Background The NDF-RT (National Drug File Reference Terminology) is an ontology, which describes drugs and their properties and supports computerized physician order entry systems. NDF-RT’s classes are mostly specified using only necessary conditions and lack sufficient conditions, making its use limited until recently, when asserted drug-class relations were added. The addition of these asserted drug-class relations presents an opportunity to compare them with drug-class relations that can be inferred using the properties of drugs and drug classes in NDF-RT. Methods We enriched NDF-RT’s drug-classes with sufficient conditions, added property equivalences, and then used an OWL reasoner to infer drug-class membership relations. We compared the inferred class relations to the recently added asserted relations derived from FDA Structured Product Labels. Results The inferred and asserted relations only match in about 50% of the cases, due to incompleteness of the drug descriptions and quality issues in the class definitions. Conclusions This investigation quantifies and categorizes the disparities between asserted and inferred drug-class relations and illustrates issues with class definitions and drug descriptions. In addition, it serves as an example of the benefits DL can add to ontology development and evaluation.
机译:背景技术NDF-RT(国家药品档案参考术语)是一种本体,描述药物及其特性并支持计算机医师订单输入系统。 NDF-RT的类别大多仅使用必要条件来指定,并且缺乏足够的条件,因此直到最近增加了断言的药物类别关系后,其使用才受到限制。这些断言的药物类别关系的添加提供了将它们与可以使用NDF-RT中的药物性质和药物类别进行推断的药物类别关系进行比较的机会。方法我们用足够的条件丰富了NDF-RT的毒品类别,增加了属性对等,然后使用OWL推理程序来推断毒品类别成员关系。我们将推断的类关系与最近添加的从FDA结构产品标签得出的断言关系进行了比较。结果由于类说明中药物说明的不完整和质量问题,推断和断言的关系仅在约50%的情况下匹配。结论本研究对主张和推定的药物类别关系之间的差异进行了量化和分类,并说明了有关类别定义和药物描述的问题。此外,它还作为DL可以为本体开发和评估带来好处的示例。

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