Information Systems Department, Faculty of Computers and Informatics, Benha University, Banha, Egypt.
Department of Information and Communication Engineering, Inha University, Incheon, South Korea.
BMC Med Inform Decis Mak. 2018 Aug 31;18(1):76. doi: 10.1186/s12911-018-0651-5.
Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but these efforts have been hampered by the size and complexity of SCT.
Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the terms in SCT in a way that will support quality assurance of SCT, for example, by allowing consistency checks of definitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-level SCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS).
The SCTO is implemented in OWL 2, to support automatic inference and consistency checking. The approach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundry ontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-level ontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555 annotations. It is publicly available through the bioportal at http://bioportal.bioontology.org/ontologies/SCTO/ .
The resulting ontology can enhance the semantics of clinical decision support systems and semantic interoperability among distributed electronic health records. In addition, the populated ontology can be used for the automation of mobile health applications.
医学术语系统命名法(SNOMED CT,以下简称 SCT)是一种用于标准化电子健康数据存储、检索和交换的全面医学术语。已经做出了一些努力来捕获 SCT 的内容作为 Web 本体语言(OWL),但这些努力受到 SCT 的规模和复杂性的阻碍。
我们在这里提出的建议是开发一个上层本体,并使用它作为定义 SCT 中术语的基础,以支持 SCT 的质量保证,例如,允许对定义进行一致性检查,并识别和消除 SCT 词汇中的冗余。我们提出的上层 SCT 本体(SCTO)基于一般医学科学本体(OGMS)。
SCTO 是用 OWL 2 实现的,以支持自动推理和一致性检查。该方法将允许 SCT 数据与使用开放生物医学本体 (OBO) 基金会本体进行注释的数据集成,因为使用 OGMS 将确保与 OBO 基金会的顶级本体基本形式论保持一致。目前,SCTO 包含 304 个类、28 个属性、2400 个公理和 1555 个注释。它可通过 bioportal 在 http://bioportal.bioontology.org/ontologies/SCTO/ 上公开获取。
由此产生的本体可以增强临床决策支持系统的语义和分布式电子健康记录之间的语义互操作性。此外,填充本体可用于移动健康应用程序的自动化。