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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系统存储大量由患者标识符访问的临床数据。但是,临床医生想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这种类型的信息的发现和集成。我们提出了一种语义方法,语义向临床信息注释并检索与临床医学的相关资源,独立于他们的语言和格式。此外,基于云的系统允许与外部资源集成。在本文中,我们提出了初步结果,表明目前的语义技术可以产生足够的结果来执行分类和检索任务。

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