A substring replacement approach for identifying missing IS-A relations in SNOMED CT
A substring replacement approach for identifying missing IS-A relations in SNOMED CT
复制标题
一种用于识别 SNOMED CT 中缺失 IS-A 关系的子串替换方法
DOI:
10.1109/bibm55620.2022.9995595
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Cui, Licong
中科院分区:
文献类型:
--
作者:
Hao, Xubing;Abeysinghe, Rashmie;Shi, Jay;Cui, Licong
Biomedical ontologies provide formalized information and knowledge in the biomedical domain. Over the years, biomedical ontologies have played an important role in facilitating biomedical research and applications. Common quality issues of biomedical ontologies include inconsistent naming of concepts, redundant concepts, redundant relations, incomplete/incorrect concept definitions, and incomplete/incorrect class hierarchies. In this work, we focus on addressing the incompleteness of the class hierarchy in SNOMED CT. We develop a substring replacement approach, leveraging concepts’ lexical features and existing IS-A relations to identify potential missing IS-A relations in SNOMED CT. To evaluate the effectiveness of our approach, we performed both automated and manual validation. For the automated evaluation, we leverage relations from external terminologies in the Unified Medical Language System (UMLS) to validate the identified missing IS-A relations. For the manual validation, a randomly selected 100 samples from the results are reviewed by a domain expert. Applying our approach to the March 2022 release of SNOMED CT US Edition, we identified 3,228 potential missing IS-A relations, among which 63 were validated through the UMLS. The evaluation by the domain expert revealed that 89 out of 100 (a precision of 89%) missing IS-A relations are valid cases, showing the effectiveness of this substring replacement approach to facilitate the quality assurance of IS-A relations in SNOMED CT.
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DOI:
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发表时间:
2020-10-01
期刊:
Journal of the American Medical Informatics Association : JAMIA
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Journal of the American Medical Informatics Association : JAMIA
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