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首页> 外文期刊>Journal of medical systems >Performance Evaluation of Continuity of Care Records (CCRs): Parsing Models in a Mobile Health Management System
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Performance Evaluation of Continuity of Care Records (CCRs): Parsing Models in a Mobile Health Management System

机译:护理记录连续性的性能评估:移动健康管理系统中的解析模型

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摘要

In a mobile health management system, mobile devices act as the application hosting devices for personal health records (PHRs) and the healthcare servers construct to exchange and analyze PHRs. One of the most popular PHR standards is continuity of care record (CCR). The CCR is expressed in XML formats. However, parsing is an expensive operation that can degrade XML processing performance. Hence, the objective of this study was to identify different operational and performance characteristics for those CCR parsing models including the XML DOM parser, the SAX parser, the PULL parser, and the JSON parser with regard to JSON data converted from XML-based CCR. Thus, developers can make sensible choices for their target PHR applications to parse CCRs when using mobile devices or servers with different system resources. Furthermore, the simulation experiments of four case studies are conducted to compare the parsing performance on Android mobile devices and the server with large quantities of CCR data.
机译:在移动健康管理系统中,移动设备充当个人健康记录(PHR)的应用程序托管设备,而医疗保健服务器构造为交换和分析PHR。 PHR最受欢迎的标准之一是护理记录的连续性(CCR)。 CCR以XML格式表示。但是,解析是一项昂贵的操作,可能会降低XML处理性能。因此,本研究的目的是针对从基于XML的CCR转换的JSON数据,为那些CCR解析模型(包括XML DOM解析器,SAX解析器,PULL解析器和JSON解析器)识别不同的操作和性能特征。因此,当使用具有不同系统资源的移动设备或服务器时,开发人员可以为他们的目标PHR应用做出明智的选择,以解析CCR。此外,进行了四个案例研究的仿真实验,以比较Android移动设备和带有大量CCR数据的服务器上的解析性能。

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