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Semantic Discovery of Resources in Cloud-Based PACS/RIS Systems

机译:基于云的PACS / RIS系统中资源的语义发现

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PACS/RIS systems store a huge volume of clinical data that are mostly accessed by the patient identifier. However, clinicians would like to retrieve information about similar clinical cases. In this paper, we claim that the semantics-based technology could improve the discovery and integration of information in this type of systems. We propose a semantic approach that semantically annotates the clinical information and retrieves the resources relevant to the clinician's query, independently of their language and format. Moreover, cloud-based systems allow the integration with external resources. In this paper, we present preliminary results that show that current semantic technologies can produce good enough results to perform classification and retrieval tasks.
机译:PACS / RIS系统存储大量的临床数据,大部分由患者标识符访问。但是,临床医生希望检索有关类似临床病例的信息。在本文中,我们声称基于语义的技术可以改善此类系统中信息的发现和集成。我们提出了一种语义方法,该方法在语义上注释临床信息并检索与临床医生的查询相关的资源,而与他们的语言和格式无关。此外,基于云的系统允许与外部资源集成。在本文中,我们提供的初步结果表明,当前的语义技术可以产生足够好的结果来执行分类和检索任务。

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