CD-KES:An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach
Patients participation plays a crucial role in the management of chronic diseases.Educating patients about their diseases allows patients to self-regulate their daily health conditions more reasonably and effectively.This study focuses on an informative way to develop daily education and guidance among patients.We provide a systematic approach to establish,process,and present the knowledge map of chronic diseases.An ontology technique is used to model clinical knowledge and rules.Rule-based inference service is constructed based on the RETE reasoning algorithm.Several considerations in semantic visualization and interaction are listed as recommendations.A prototype of Chronic Disease Knowledge Education System(CD-KES)based on this approach has been built for diabetes mellitus.With the prototype,comparative evaluations for system performances in knowledge querying and browsing are taken.The results shows the system can help patients to more easily understand medical knowledge and avoid potential negative consequences.
Chronic disease Education of patients Decision support systems
Chengkai Wu Ling Gou Yu Wang Yong Shang Yu Tian Jing-song Li
Engineering Research Center of EMR and Intelligent Expert System,Ministry of Education,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou Zhejiang Province,China
国际会议
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)
苏州
英文
1180-1184
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）