基于本体的规则推理和案例推理结合的糖尿病诊疗专家系统研究

基于本体的规则推理和案例推理结合的糖尿病诊疗专家系统研
究
陈桂芬;汪江;杨志刚
【期刊名称】《长春大学学报（自然科学版）》
【年(卷),期】2016(026)003
【摘要】Rule-based Reasoning (RBR) and Case-based Reasoning (CBR) are introduced to the system design of diabetes diagnosis . Focusing on system frame structure , diabetes ontology base and SWRL rules base are established by using prot égé, and the dynamic reasoning is executed by using JESS reasoning engine to construct the diabetes domain knowledge base with new knowledge .After part of ontology samples being extracted from knowledge base as case base , searching and reasoning results will be returned through the combination of case retrieval and ontology knowledge base retrieval , and diagnosis and treatment solution will be provided to patients . Comparing experiment results with expert diagnosis , the diagnosis accuracy rate of the system is obtained to be 85.28%, which shows that the system has good practicability and can become a feasible diagnosis and treatment solution for diabetes patients .%将规则推理（ RBR ）与案例推理（ CBR ）两种人工智能技术引入到糖尿病诊疗系统设计中。

围绕系统总体架构，使用protégé构建糖尿病领域本体库和糖尿病诊疗SWRL规则库，通过JESS推理引擎进行动态推理，建立包含新知识的糖尿病领域知识库；从知识库中提取部分本体实例作为案例库，采用案例检索和本体知识库检索相结合的方法，
返回查询和推理结果，提供给病人适合病情的诊疗方案。

将实验结果与专家实际诊断进行对比，得出系统诊治准确率为85．28％，表明该系统实用性较好，可以成为糖尿病患者一种可行的诊疗方案。

【总页数】7页(P19-25)
【作者】陈桂芬;汪江;杨志刚
【作者单位】福建中医药大学管理学院，福州350108;湖北黄冈市中心医院重症医学科，湖北黄冈438000;福建中医药大学附属人民医院内分泌科，福州350004【正文语种】中文
【中图分类】TP315
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