A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships
A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships
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DOI：
10.1136/amiajnl-2014-003173
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发表时间：
2015-05-01
影响因子：
6.4
通讯作者：
Hripcsak, George
中科院分区：
文献类型：
--
作者：
Ochs, Christopher;Geller, James;Hripcsak, George
目标 大型且复杂的术语，例如医学临床术语系统命名法 (SNOMED CT)，很容易出现错误和不一致。抽象网络是术语内容和结构的紧凑概括。抽象网络已被证明可以支持术语质量保证。在本文中，我们介绍了一种抽象网络推导方法，该方法可应用于 SNOMED CT 目标层次结构，其类仅使用层次关系（即没有属性关系）和类似的基于描述逻辑的术语来定义。方法我们引入了部落抽象网络（TAN），它基于部落的概念 - 植根于层次结构根的子层次结构，假设仅存在具有多个父项的概念。 TAN 使用一组概念总结了一个不具有属性关系的层次结构，称为属于完全相同的多个部落的部落单位。部落单位进一步细分为包含密切相关概念的细化部落单位。介绍了一种利用 TAN 汇总的质量保证方法。结果 为 SNOMED CT 的可观察实体层次结构导出了 TAN，总结了其内容。对等级概念进行基于 TAN 的质量保证审查，发现错误概念在大型精致部落单位中比在小型精致部落单位中出现得更频繁。此外，更多的错误概念出现在部落较多的大型精细部落单位中，而不是部落较少的部落单位中。结论在本文中，我们引入了 TAN 来总结 SNOMED CT 目标层次结构。 TAN 是为 SNOMED CT 的可观察实体层次结构派生的。引入并演示了利用 TAN 的质量保证方法。
Objective Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.Methods We introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced.Results A TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes.Conclusions In this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated.