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作 者:马费成[1,2] 周利琴[1] MA Feicheng;ZHOU Liqin
机构地区:[1]武汉大学信息管理学院,教授湖北武汉430072 [2]武汉大学信息资源研究中心
出 处:《中国图书馆学报》2018年第5期4-19,共16页Journal of Library Science in China
基 金:本文系国家自然科学基金国际(地区)合作与交流项目“基于慢病知识管理的智慧养老平台研究”(编号:71661167007)和国家自然科学基金重点国际(地区)合作研究项目“大数据环境下的知识组织与服务创新”(编号:71420107026)的研究成果之一.
摘 要:智慧健康是一种全新的医疗保健模式,对其产生的海量、异构、多源健康大数据进行有效的获取、组织、查询与分析,是实现健康保健"智慧化"的关键。在把握智慧健康知识管理的内涵、定位、目标及体系架构的基础上,探究面向智慧健康的领域知识库构建、健康数据管理分析平台的建设与实施、知识服务机制等问题,提出从本体库构建的粗粒度匹配、多种知识融合模式的细粒度匹配及用户画像构建三种方案的知识服务机制,并指出面向智慧健康知识管理与服务研究需要进一步突破与落实的方向。With the rapid development and integration of modern information technologies ( such as Big data, Cloud computing, Internet of Things, and Mobile Internet), waves of "Internet + medical" and artificial intelligence have swept the world, driven rapid expansion of health intelligent terminals, and promoted intelligent transformation of healthcare related products. The traditional "disease-centered post-treatment" model cannot solve problems of continuous healthcare and chronic disease management. It is necessary to establish a "health-oriented big health concept" as an overall response to a wide range of health-influencing factors, and create a "knowledge-prevention-medical-care-foster" integrating Smart Health models in health tracking, prediction, disease prevention, patient health management and personalized treatment in an all- round and life-cycle way. However, there exists a common problem: the spatial distribution, composition structure, type format and representation of the massive, heterogeneous and multi-source health data are becoming more and more complicated and make medical information management particularly difficult. How do we effectively obtain, organize, query and analyze a large number of health data and successfully apply them to modern medicine? This study aims to apply knowledge management, knowledge service theory and methods from the field of information resources and management to the field of Smart Health through constructing the Public Health Knowledge Base and Personal Health Big Data Management Platform to integrate decentralized personal health data, medical data, and smart health knowledge. On the basis of grasping the connotation, orientation, objectives and system structure of smart health knowledge management, the Public Health Knowledge Base is designed based on the construction of Knowledge Graph in an open network environment, which provides decision support for smart health service. The process can be divided into steps of health information collectio
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