Jiang Guoqian, Solbrig Harold R, Chute Christopher G
Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
J Biomed Semantics. 2013 Apr 21;4(1):11. doi: 10.1186/2041-1480-4-11.
The beta phase of the 11th revision of International Classification of Diseases (ICD-11) intends to accept public input through a distributed model of authoring. One of the core use cases is to create textual definitions for the ICD categories. The objective of the present study is to design, develop, and evaluate approaches to support ICD-11 textual definitions authoring using Semantic Web technology. We investigated a number of heterogeneous resources related to the definitions of diseases, including the linked open data (LOD) from DBpedia, the textual definitions from the Unified Medical Language System (UMLS) and the formal definitions of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). We integrated them in a Semantic Web framework (i.e., the Linked Data in a Resource Description Framework [RDF] triple store), which is being proposed as a backend in a prototype platform for collaborative authoring of ICD-11 beta. We performed a preliminary evaluation on the usefulness of our approaches and discussed the potential challenges from both technical and clinical perspectives.
《国际疾病分类》（ICD - 11）第11次修订版的β阶段打算通过分布式创作模型接受公众意见。其中一个核心用例是为ICD类别创建文本定义。本研究的目的是设计、开发和评估使用语义网技术支持ICD - 11文本定义创作的方法。我们调查了一些与疾病定义相关的异构资源，包括来自DBpedia的关联开放数据（LOD）、来自统一医学语言系统（UMLS）的文本定义以及医学临床术语系统命名法（SNOMED CT）的形式定义。我们将它们集成到一个语义网框架中（即资源描述框架[RDF]三元组存储中的关联数据），该框架被提议作为ICD - 11β版协作创作原型平台的后端。我们对我们方法的实用性进行了初步评估，并从技术和临床角度讨论了潜在挑战。
