本文選題：衛(wèi)生信息數(shù)據(jù)元　切入點：本體構(gòu)建　出處：《電子科技大學》2013年碩士論文　論文類型：學位論文

【摘要】：2012年中國的semantic web技術(shù)應(yīng)用得到了爆發(fā)性的增長，semantic web技術(shù)帶來的便捷效用和語義搜索引擎的自然語言解析檢索能力讓我們對互聯(lián)網(wǎng)技術(shù)有了全新的認識。近兩年來，隨著我國醫(yī)療衛(wèi)生行業(yè)信息化工作由局部信息化建設(shè)向區(qū)域信息化建設(shè)轉(zhuǎn)變，semantic web技術(shù)也逐漸被應(yīng)用到醫(yī)療信息行業(yè)中來，在實現(xiàn)醫(yī)療衛(wèi)生數(shù)據(jù)的自然語言檢索功能方面做出了一些嘗試，同時配合ontology技術(shù)構(gòu)建出了各類專業(yè)化醫(yī)學本體知識庫用以醫(yī)學醫(yī)理研究，在醫(yī)療衛(wèi)生信息化行業(yè)取得了豐碩的成果。但是目前在實際醫(yī)療數(shù)據(jù)的語義化檢索方面還缺乏研究和探索，特別是基于國家數(shù)據(jù)元規(guī)范的區(qū)域內(nèi)關(guān)系型數(shù)據(jù)庫中儲存有大量的臨床衛(wèi)生數(shù)據(jù)，如何解決針對這部分數(shù)據(jù)的語義檢索和分析是本文的重點。 針對上述問題，本文在深入學習semantic web與ontology技術(shù)的基礎(chǔ)上，結(jié)合分析醫(yī)療信息數(shù)據(jù)元標準與醫(yī)療信息交換標準，，對semantic web與ontology技術(shù)在區(qū)域醫(yī)療信息化建設(shè)中的應(yīng)用作了創(chuàng)新性和探索性的研究。主要研究內(nèi)容為： 1.深入學習和對比分析了醫(yī)療信息本體知識庫的構(gòu)建方法、構(gòu)建流程與自動、半自動與手工構(gòu)建方法的優(yōu)劣對別。選定并探索性的設(shè)計了手工構(gòu)建本體知識庫的流程方案和系統(tǒng)構(gòu)架。 2.詳細研究了國家頒布的數(shù)據(jù)元標準的結(jié)構(gòu)、內(nèi)容及其在醫(yī)療信息交換過程中的應(yīng)用方法與實現(xiàn)技術(shù)。在此基礎(chǔ)對國標數(shù)據(jù)進行整理、篩選和復(fù)用。于此基礎(chǔ)上創(chuàng)新性的提出了，基于國家標準構(gòu)建醫(yī)學本體知識庫的設(shè)想。 3.研究分析HL7CDA技術(shù)在解決異構(gòu)醫(yī)療機構(gòu)間的醫(yī)療衛(wèi)生信息傳遞、交換過程中的實現(xiàn)方案與技術(shù)路線。并首次設(shè)計構(gòu)建了基于CDA數(shù)據(jù)集的映射引擎。 4.完成了基于國家標準數(shù)據(jù)元手工構(gòu)建醫(yī)學信息學本體知識庫的設(shè)計與構(gòu)建工程，并通過CDA Schema技術(shù)實現(xiàn)了本體知識庫到關(guān)系型數(shù)據(jù)庫的映射，實現(xiàn)了區(qū)域關(guān)系型數(shù)據(jù)庫的語義檢索與查詢功能。并為后續(xù)語義應(yīng)用開發(fā)打下了基礎(chǔ)。 5.探索性的對比基于國家標準數(shù)據(jù)元構(gòu)建的醫(yī)學信息學本體知識庫與其他醫(yī)療領(lǐng)域內(nèi)本體知識庫的優(yōu)缺點。
[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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：R197.1;TP391.1

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