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CD-KES: An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach

机译:CD-KES:慢性病患者的基于本体知识教育系统及其构建方法

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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.
机译:患者的参与在慢性疾病的管理中发挥着至关重要的作用。教育患者对其疾病允许患者更合理且有效地自我调节日常健康状况。本研究侧重于发展患者日常教育和指导的信息。我们提供系统的方法来建立,过程和呈现慢性疾病的知识图。本体技术用于建模临床知识和规则。基于RETE推理算法构建了基于规则的推理服务。语义可视化和互动的几个考虑因素被列为建议。基于这种方法的慢性疾病知识教育系统(CD-KES)的原型是为糖尿病为基础。通过原型,采用了知识查询和浏览系统性能的比较评估。结果表明,该系统可以帮助患者更容易地了解医学知识并避免潜在的负面后果。

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