区域医疗本体知识库构建及其语义应用

发布时间：2018-03-21 00:28

本文选题：卫生信息数据元　切入点：本体构建　出处：《电子科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：2012年中国的semantic web技术应用得到了爆发性的增长，semantic web技术带来的便捷效用和语义搜索引擎的自然语言解析检索能力让我们对互联网技术有了全新的认识。近两年来，随着我国医疗卫生行业信息化工作由局部信息化建设向区域信息化建设转变，semantic web技术也逐渐被应用到医疗信息行业中来，在实现医疗卫生数据的自然语言检索功能方面做出了一些尝试，同时配合ontology技术构建出了各类专业化医学本体知识库用以医学医理研究，在医疗卫生信息化行业取得了丰硕的成果。但是目前在实际医疗数据的语义化检索方面还缺乏研究和探索，特别是基于国家数据元规范的区域内关系型数据库中储存有大量的临床卫生数据，如何解决针对这部分数据的语义检索和分析是本文的重点。针对上述问题，本文在深入学习semantic web与ontology技术的基础上，结合分析医疗信息数据元标准与医疗信息交换标准，，对semantic web与ontology技术在区域医疗信息化建设中的应用作了创新性和探索性的研究。主要研究内容为： 1.深入学习和对比分析了医疗信息本体知识库的构建方法、构建流程与自动、半自动与手工构建方法的优劣对别。选定并探索性的设计了手工构建本体知识库的流程方案和系统构架。 2.详细研究了国家颁布的数据元标准的结构、内容及其在医疗信息交换过程中的应用方法与实现技术。在此基础对国标数据进行整理、筛选和复用。于此基础上创新性的提出了，基于国家标准构建医学本体知识库的设想。 3.研究分析HL7CDA技术在解决异构医疗机构间的医疗卫生信息传递、交换过程中的实现方案与技术路线。并首次设计构建了基于CDA数据集的映射引擎。 4.完成了基于国家标准数据元手工构建医学信息学本体知识库的设计与构建工程，并通过CDA Schema技术实现了本体知识库到关系型数据库的映射，实现了区域关系型数据库的语义检索与查询功能。并为后续语义应用开发打下了基础。 5.探索性的对比基于国家标准数据元构建的医学信息学本体知识库与其他医疗领域内本体知识库的优缺点。
[Abstract]:The semantic web technology application in China in 2012 has gained an explosive increase in the convenience of semantic web technology and the natural language parsing and retrieval ability of semantic search engines, which has given us a new understanding of Internet technology in the last two years. With the transformation of medical and health industry informatization from local information construction to regional information construction, semantic web technology has been gradually applied to the medical information industry. Some attempts have been made to realize the function of natural language retrieval of medical and health data. At the same time, various kinds of specialized medical ontology knowledge base have been constructed with ontology technology for medical medical science research. Great achievements have been made in the medical and health information industry. However, there is still a lack of research and exploration in the semantic retrieval of actual medical data. In particular, there are a large number of clinical health data stored in the regional relational database based on the national data metadata specification. How to solve the semantic retrieval and analysis of this part of data is the focus of this paper. In order to solve the above problems, based on the in-depth study of semantic web and ontology technology, this paper combines the analysis of medical information data metadata standard and medical information exchange standard. The application of semantic web and ontology technology in the construction of regional medical information is studied in this paper. The main contents are as follows:. 1. Deeply studying and comparing the method of constructing medical information ontology knowledge base, constructing process and automaticity. The advantages and disadvantages of semi-automatic and manual construction methods are compared. The flow scheme and system framework of manual construction of ontology knowledge base are selected and explored. 2. The structure, content, application method and realization technology of the data metadata standard issued by the state are studied in detail. On this basis, the data of the national standard are sorted out. Screening and reuse. On the basis of this, an innovative idea of constructing medical ontology knowledge base based on national standards is put forward. 3. The implementation scheme and technical route of HL7CDA technology in the process of health information transmission and exchange between heterogeneous medical institutions are studied and analyzed, and the mapping engine based on CDA data set is designed for the first time. 4. The design and construction of medical informatics ontology knowledge base based on national standard data element is completed, and the mapping from ontology knowledge base to relational database is realized by CDA Schema technology. The semantic retrieval and query functions of the regional relational database are realized, and the foundation is laid for the subsequent development of semantic application. 5. The advantages and disadvantages of medical informatics ontology knowledge base based on national standard data element are compared with that of other medical field ontology knowledge base.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：R197.1;TP391.1

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