Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.

Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
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DOI:
10.1016/j.jbi.2011.08.016
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发表时间:
2012-02
影响因子:
4.5
通讯作者:
Hripcsak, George
Hripcsak, George
中科院分区:
医学3区
文献类型:
--
作者:
Wang, Yue;Halper, Michael;Wei, Duo;Gu, Huanying;Perl, Yehoshua;Xu, Junchuan;Elhanan, Gai;Chen, Yan;Spackman, Kent A.;Case, James T.;Hripcsak, George

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SNOMED CT等大型术语的审计人员面临着一个艰巨的挑战。为了帮助他们的努力,必须设计出能够自动识别值得特别注意的概念的技术。本质上更难建模的“复杂”概念恰好就属于这一类。一种特殊的分组,称为局部区域,用于描述复杂的概念。特别是,作为这项工作的焦点的复杂概念是那些出现在多个局部区域的交点上的概念,因此被称为重叠概念。在一篇配套论文中,提出了一种自动方法,用于识别并将整个重叠概念集合划分为不相交的、单根的组,以便更易于管理和理解。划分方法构成了为重叠概念开发抽象网络的基础,称为不相交的部分区域分类法。这种新的不相交的局部区域分类法提供了一组语义上一致的局部区域,并在此用作新的审计方法的基础。在语义一致的组中,以自上而下的顺序对重叠的概念进行审查。这些群体本身是按照自上而下的顺序进行审查的,从不太复杂的重叠概念到更复杂的重叠概念。给出了将该方法应用于SNOMED样品层次的结果。提出了关于重叠概念和不同类型重叠概念之间错误率的假设。报告了两个SNOMED版本的样本层次审核的两个阶段。使用双Bootstrap和Fisher精确检验(双尾),对概念的审计,特别是重叠部分区域的根的审计,在统计上显著地产生了更高的错误比例。
Auditors of a large terminology, such as SNOMED CT, face a daunting challenge. To aid them in their efforts, it is essential to devise techniques that can automatically identify concepts warranting special attention. “Complex” concepts, which by their very nature are more difficult to model, fall neatly into this category. A special kind of grouping, called a partial-area, is utilized in the characterization of complex concepts. In particular, the complex concepts that are the focus of this work are those appearing in intersections of multiple partial-areas and are thus referred to as overlapping concepts. In a companion paper, an automatic methodology for identifying and partitioning the entire collection of overlapping concepts into disjoint, singly-rooted groups, that are more manageable to work with and comprehend, has been presented. The partitioning methodology formed the foundation for the development of an abstraction network for the overlapping concepts called a disjoint partial-area taxonomy. This new disjoint partial-area taxonomy offers a collection of semantically uniform partial-areas and is exploited herein as the basis for a novel auditing methodology. The review of the overlapping concepts is done in a top-down order within semantically uniform groups. These groups are themselves reviewed in a top-down order, which proceeds from the less complex to the more complex overlapping concepts. The results of applying the methodology to SNOMED’s Specimen hierarchy are presented. Hypotheses regarding error ratios for overlapping concepts and between different kinds of overlapping concepts are formulated. Two phases of auditing the Specimen hierarchy for two releases of SNOMED are reported on. With the use of the double bootstrap and Fisher’s exact test (two-tailed), the auditing of concepts and especially roots of overlapping partial-areas is shown to yield a statistically significant higher proportion of errors.
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发表时间: 1996-05-01
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