Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications
Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications
复制标题
DOI：
10.1016/j.jbi.2013.11.003
复制
发表时间：
2014-02-01
影响因子：
4.5
通讯作者：
Elhanan, Gai
中科院分区：
文献类型：
--
作者：
Agrawal, Ankur;Elhanan, Gai
目的：为了量化的存在和评估的方法，用于检测的不一致性的正式定义的SNOMED CT（SCT）concepts utilizing a lexical method.Material和方法：利用SCT的程序层次结构，我们算法制定相似集：组的概念，具有类似的词汇结构，他们完全指定的名称。我们制定了五个随机样本，每个有50个相似集，基于相同的参数：父母，属性，组的数量，所有前者以及随机选择的对照样本。所有样本集进行了审查的形式定义不一致的类型：层次结构，属性分配，属性目标值，组，和definitial.Results：对于程序层次结构，2111相似集制定，覆盖18.1%的合格概念。评价显示，样品中38%（对照）至70%（不同关系）的相似性集表现出显著不一致。与对照相比，具有不同关系的样品的不一致率非常显著，其各自样品中的属性分配和分层不一致的数量也非常显著。虽然在HITECH倡议的这个时候，SCT的正式定义只是一个次要的考虑因素，但在复杂的、有意义的使用捕获的临床数据的宏伟计划中，它们是必不可少的。然而，在SCT的最语义复杂的层次结构，程序层次结构中的概念的重要部分，建模不一致的方式，影响其可计算性。词汇方法可以有效地识别这种不一致性，并可能允许其算法解决方案。(C)2013 Elsevier Inc. All rights reserved.
Objective: To quantify the presence of and evaluate an approach for detection of inconsistencies in the formal definitions of SNOMED CT (SCT) concepts utilizing a lexical method.Material and method: Utilizing SCT's Procedure hierarchy, we algorithmically formulated similarity sets: groups of concepts with similar lexical structure of their fully specified name. We formulated five random samples, each with 50 similarity sets, based on the same parameter: number of parents, attributes, groups, all the former as well as a randomly selected control sample. All samples' sets were reviewed for types of formal definition inconsistencies: hierarchical, attribute assignment, attribute target values, groups, and definitional.Results: For the Procedure hierarchy, 2111 similarity sets were formulated, covering 18.1% of eligible concepts. The evaluation revealed that 38 (Control) to 70% (Different relationships) of similarity sets within the samples exhibited significant inconsistencies. The rate of inconsistencies for the sample with different relationships was highly significant compared to Control, as well as the number of attribute assignment and hierarchical inconsistencies within their respective samples.Discussion and conclusion: While, at this time of the HITECH initiative, the formal definitions of SCT are only a minor consideration, in the grand scheme of sophisticated, meaningful use of captured clinical data, they are essential. However, significant portion of the concepts in the most semantically complex hierarchy of SCT, the Procedure hierarchy, are modeled inconsistently in a manner that affects their computability. Lexical methods can efficiently identify such inconsistencies and possibly allow for their algorithmic resolution. (C) 2013 Elsevier Inc. All rights reserved.