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首页> 外文期刊>International journal of metadata, semantics and ontologies >SWRL reasoning on ontology-based clinical dengue knowledge base
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SWRL reasoning on ontology-based clinical dengue knowledge base

机译：基于本体的临床登革热知识库的SWRL推理

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摘要

Dengue is a widespread mosquito-borne viral illness that may lead to death if not treated timely and properly. The aim of this study is to propose a semantic rule-based modelling and reasoning approach directed towards formalising dengue disease definition in conjunction with operational definitions (semantics) that support clinical and diagnostic reasoning. The operational definitions are incorporated using Semantic Web Rule Language (SWRL) as logical rules that enhance the expressive capability of the knowledge base. A dengue knowledge base has been designed which is extended with International Classification of Diseases (ICD) ontology for associating dengue fever with ICD code. The knowledge base created can be reasoned upon for diagnostic classification that can discover dengue symptoms and predict the possibility of patients to suffer from the disease apart from offering interoperability. 153 real patient cases are classified successfully against the operational definitions incorporated by SWRL rules.
机译：登革热是一个广泛的蚊子般的病毒疾病，如果不及时治疗，可能导致死亡。本研究的目的是提出一种基于语义的规则的建模和推理方法，用于与支持临床和诊断推理的操作定义（语义）结合操作定义疾病定义。使用语义Web规则语言（SWRL）并入操作定义作为增强知识库的表现能力的逻辑规则。设计了登革热知识库，延伸了国际疾病（ICD）本体的国际分类，用于将登革热与ICD代码联系起来。创建的知识库可以符合诊断分类，以发现登革热症状并预测患者患有疾病的可能性，除了提供互操作性。 153个真实患者案例成功地分类为由SWRL规则的操作定义进行分类。

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