Vittorini Pierpaolo, Michetti Monica, di Orio Ferdinando
Department of Internal Medicine and Public Health, University of L'Aquila, Via S. Salvatore 1, 67010 L'Aquila, Italy.
Comput Methods Programs Biomed. 2008 Oct;92(1):144-53. doi: 10.1016/j.cmpb.2008.06.006. Epub 2008 Jul 26.
Currently, large efforts are spent to develop standards and architectures useful to achieve more effective interoperability among medical information systems. Despite such efforts, there are no researches produced so far to directly analyse, with statistical methods, biomedical data represented as eXtensible Markup Language (XML) documents. Thus, the paper proposes an architecture which offers a twofold approach to the statistical analysis of XML data, i.e. via a web service and by extending the query languages used in XML databases. To show how the architecture can be used, a sample system is also reported. Finally, the paper ends by reporting the advantages and drawbacks of the proposed approach in comparison with classic statistical packages.
目前，人们投入了大量精力来开发有助于实现医疗信息系统之间更有效互操作性的标准和架构。尽管付出了这些努力，但迄今为止，还没有研究使用统计方法直接分析以可扩展标记语言（XML）文档形式表示的生物医学数据。因此，本文提出了一种架构，该架构提供了一种双重方法来对XML数据进行统计分析，即通过网络服务以及扩展XML数据库中使用的查询语言。为了展示该架构的使用方式，还报告了一个示例系统。最后，本文通过报告所提出的方法与传统统计软件包相比的优缺点来结束。
