PRIMA: A case study of using information visualization techniques for patient record analysis

D. Gresh, David A. Rabenhorst, A. Shabo, Shimon Slavin
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引用次数: 20

Abstract

We have created an application, called PRIMA (Patient Record intelligent Monitoring and Analysis), which can be used to visualize and understand patient record data. It was developed to better understand a large collection of patient records of bone marrow transplants at Hadassah Hospital in Jerusalem, Israel. It is based on an information visualization toolkit, Opal, which has been developed at the IBM T.J. Watson Research Center. Opal allows intelligent, interactive visualization of a wide variety of different types of data. The PRIMA application is generally applicable to a wide range of patient record data, as the underlying toolkit is flexible with regard to the form of the input data. This application is a good example of the usefulness of information visualization techniques in the bioinformatics domain, as these techniques have been developed specifically to deal with diverse sets of often unfamiliar data. We illustrate several unanticipated findings which resulted from the use of a flexible and interactive information visualization environment.
一个使用信息可视化技术进行病历分析的案例研究
我们已经创建了一个应用程序,称为PRIMA(患者记录智能监测和分析),它可以用来可视化和理解患者记录数据。它的开发是为了更好地了解以色列耶路撒冷哈达萨医院骨髓移植的大量患者记录。它基于IBM T.J. Watson研究中心开发的信息可视化工具包Opal。Opal允许对各种不同类型的数据进行智能的交互式可视化。PRIMA应用程序通常适用于广泛的患者记录数据,因为底层工具包在输入数据的形式方面是灵活的。这个应用程序是信息可视化技术在生物信息学领域有用性的一个很好的例子,因为这些技术是专门为处理不同的通常不熟悉的数据集而开发的。我们举例说明了使用灵活的交互式信息可视化环境所产生的几个意想不到的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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