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首页> 外文会议>Control and Decision Conference (CCDC), 2012 24th Chinese >Clinical trial knowledge management system using ontology
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Clinical trial knowledge management system using ontology

机译：利用本体的临床试验知识管理系统

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摘要

Clinical trial is a kind of research to evaluate the effects of the interventions on health outcomes. Now, there're many clinical trial registries all over the world which provide the registration and search of the clinical trials. Here, we present an architecture of clinical trial knowledge management system using ontology to facilitate the knowledge representation, data integration of the clinical trial. Also, we build a prototype system. In this prototype system, the clinical trial data is retrieved from Clinicaltrial.gov, an ontology includes clinical trial knowledge is developed, and the clinical trial data is annotated as the instances of the ontology. A concept recognition tool is used to recognize the disease concept from the clinical trial data and the relation between the clinical trial and the disease is built. Users can browse the ontology, use disease instances and keywords of some properties to express the structured semantic query in SPARQL to locate the clinical trial instances. Compared with the traditional query, the query conditions meet the user's need more accurately.
机译：临床试验是一种评估干预措施对健康结果影响的研究。现在，全世界有许多临床试验注册中心提供临床试验的注册和搜索。在这里，我们提出一种使用本体来促进临床试验的知识表示和数据集成的临床试验知识管理系统的体系结构。此外，我们构建了原型系统。在该原型系统中，可从Clinicaltrial.gov检索临床试验数据，开发包含临床试验知识的本体，并将临床试验数据注释为本体的实例。使用概念识别工具从临床试验数据中识别疾病概念，并建立临床试验与疾病之间的关系。用户可以浏览本体，使用疾病实例和某些属性的关键字来表达SPARQL中的结构化语义查询以定位临床试验实例。与传统查询相比，查询条件更加准确地满足了用户的需求。

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