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作 者:王丽丽[1,2] 冯逸飞 李东方[3] 王温 王伟忠 WANG Lili;FENG Yifei;LI Dongfang;WANG Wen;WANG Weizhong(School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Naval Medical Center,Naval Medical University(Second Military Medical University),Shanghai 200433,China;Department of Computer Science and Simulation Technology,Faculty of Health Service,Naval Medical University(Second Military Medical University),Shanghai 200433,China)
机构地区:[1]上海理工大学健康科学与工程学院,上海200093 [2]海军军医大学(第二军医大学)海军特色医学中心,上海200433 [3]海军军医大学(第二军医大学)卫生勤务学系计算机与仿真技术教研室,上海200433
出 处:《海军军医大学学报》2024年第1期106-112,共7页Academic Journal of Naval Medical University
基 金:海军重点学科专业建设项目(21JX017);海军军医大学(第二军医大学)教学成果立项培育项目(JPY2020A04);海军军医大学(第二军医大学)海军特色医学中心青年科技创新人才项目(21TPQN0803);军委科学技术委员会173项目(2022-JCJQ-ZD-079-02).
摘 要:特种医学作为推动我国医学领域整体发展的重要分支,自设立以来积累了大量多源异构数据,但该领域知识如何精准分析并高效应用仍是目前亟待解决的难题。知识图谱具有结构化组织、管理和运用海量大数据信息实现知识推理等优势,是推动医学数字化进程的关键技术。本文主要探讨知识图谱在知识关联方面解决特种医学领域研究过程中处理数据应用难题的优势,综述医学知识图谱构建所涉及的关键技术,分析归纳知识图谱在特种医学领域各分支方向的应用进展,最后探讨知识图谱在特种医学研究子领域——寒区医学应用中的局限和方向。As an important branch promoting the overall development of medicine in China,special medicine has accumulated many multi-source heterogeneous data since its emergence,but how to accurately analyze and efficiently apply the knowledge is still an urgent problem.Knowledge graph has the advantages of structured organization,management and application of massive big data to achieve knowledge reasoning,and it is a key technology to promote medical digitization.This paper mainly discusses the advantages of knowledge graph in knowledge association to solve the problem of data processing and application in special medical field,summarizes the key technologies involved in the construction of medical knowledge graph,analyzes the progress of knowledge graph in various branches of special medical field,and finally discusses the limitations and directions of knowledge graph in a sub-field of special medicine—cold region medicine.
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