Application of Ontology Technology in Health Statistic Data Analysis

摘要：

　　Research Purpose: establish health management ontology for analysis of health statistic data.Proposed Methods: this paper established health management ontology based on the analysis of the concepts in China Health Statistics Yearbook,and used protégé to define the syntactic and semantic structure of health statistical data.Results: six classes of toplevel ontology concepts and their subclasses had been extracted and the object properties and data properties were defined to establish the construction of these classes.By ontology instantiation,we can integrate multi-source heterogeneous data and enable administrators to have an overall understanding and analysis of the health statistic data.Conclusion: ontology technology provides a comprehensive and unified information integration structure of the health management domain and lays a foundation for the efficient analysis of multi-source and heterogeneous health system management data and enhancement of the management efficiency.

关键词： Disease Management Semantics Models,Statistical

作者: Guo Minjiang Hu Hongpu Lei Xingyun

作者单位: Institute of Medical Information/Center for Health Policy and Management,Chinese Academy of Medical Sciences,Beijing,China

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 915-919

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）