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An Innovative Methodology for Big Data Visualization for Telemedicine

机译:远程医疗大数据可视化的创新方法

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摘要

With the explosion of Big Data, visualizing statistical data became a challenging topic that has involved many research efforts over the last years. Interpreting Big Data and efficiently showing information for good understanding are difficult tasks, especially in healthcare scenarios, where different types of data have to been managed and cross-related. Some models and techniques for health data visualization have been presented in literature. However, they do not satisfy the visualization needs of physicians and medical personnel. In this paper, we present a new graphical tool for the visualization of health data, that can be easily used for monitoring health status of patients remotely. The tool is very user friendly, and allows physician to quickly understand the current status of a person by looking at colored circles. From a technical point of view, the proposed solution adopts the geoJSON standard to classify data into different circles.
机译:随着大数据的爆炸式增长,可视化统计数据已成为一个具有挑战性的主题,在过去的几年中,它涉及许多研究工作。解释大数据并有效显示信息以进行深入了解是一项艰巨的任务,尤其是在医疗保健场景中,必须管理和交叉关联不同类型的数据。在文献中已经提出了一些用于健康数据可视化的模型和技术。但是,它们不能满足医师和医务人员的可视化需求。在本文中,我们提出了一种用于可视化健康数据的新图形工具,可以轻松地用于远程监视患者的健康状况。该工具非常用户友好,并允许医生通过观察彩色圆圈快速了解一个人的当前状态。从技术角度来看,提出的解决方案采用geoJSON标准将数据分类为不同的圈子。

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