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2
Auditing SNOMED relationships using a converse abstraction network.使用逆向抽象网络审核SNOMED关系。
AMIA Annu Symp Proc. 2009 Nov 14;2009:685-9.
3
Detecting Underspecification in SNOMED CT concept definitions through natural language processing.通过自然语言处理检测SNOMED CT概念定义中的规格不足问题。
AMIA Annu Symp Proc. 2009 Nov 14;2009:492-6.
4
Structural methodologies for auditing SNOMED.用于审核SNOMED的结构化方法。
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5
The semantics of procedures and diseases in SNOMED CT.医学系统命名法临床术语(SNOMED CT)中程序和疾病的语义。
Methods Inf Med. 2006;45(4):354-8.
6
Role grouping as an extension to the description logic of Ontylog, motivated by concept modeling in SNOMED.角色分组作为Ontylog描述逻辑的扩展,其灵感来自于SNOMED中的概念建模。
Proc AMIA Symp. 2002:712-6.
7
Controlled vocabulary and design of laboratory results displays.实验室结果显示的受控词汇与设计
Proc AMIA Annu Fall Symp. 1997:719-23.
8
Supporting infobuttons with terminological knowledge.用术语知识支持信息按钮。
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SNOMED CT中表面相似概念的逻辑建模差异。

Dissimilarities in the Logical Modeling of Apparently Similar Concepts in SNOMED CT.

作者信息

Agrawal Ankur, Elhanan Gai, Halper Michael

机构信息

New Jersey Institute of Technology, Newark, NJ.

出版信息

AMIA Annu Symp Proc. 2010 Nov 13;2010:212-6.

PMID:21346971
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3041443/
Abstract

Concepts whose terms are of a similar word structure are expected to have similar logical representations. Anecdotal examples from SNOMED CT indicate that this may not always be the case. An investigation into the extent of inconsistent modeling in SNOMED CT hierarchies is carried out. A lexical methodology is used to identify sets of similar concepts. It is applied to one of the most attribute-rich hierarchies, Procedure, from which a random sample of 60 sets is derived. These sets are examined in regard to hierarchical, definitional, attribute, attribute/value, and role-group aspects. Thirty percent of the sample sets were found to have at least one type of modeling inconsistency. Their presence may interfere with the performance of terminology-driven applications. With the use of SNOMED expanding, such inconsistencies may eventually affect clinical care. Due to this, external auditing should be encouraged to identify such issues and complement IHTSDO's efforts.

摘要

那些术语具有相似词结构的概念,预期会有相似的逻辑表示。来自SNOMED CT的轶事性例子表明情况可能并非总是如此。对SNOMED CT层次结构中不一致建模的程度进行了调查。使用一种词汇方法来识别相似概念集。该方法应用于最具属性的层次结构之一“Procedure”,从中抽取了60组的随机样本。从层次、定义、属性、属性/值和角色组等方面对这些集合进行了检查。发现30%的样本集至少存在一种类型的建模不一致。它们的存在可能会干扰术语驱动应用程序的性能。随着SNOMED的不断扩展,这种不一致最终可能会影响临床护理。因此,应鼓励外部审核来识别此类问题,并补充国际卫生术语标准发展组织(IHTSDO)的工作。