An Innovative Methodology for Big Data Visualization for Telemedicine

被引:21
|
作者
Galletta, Antonino [1 ,2 ]
Carnevale, Lorenzo [1 ,2 ]
Bramanti, Alessia [3 ]
Fazio, Maria [1 ,2 ]
机构
[1] Univ Messina, MIFT Dept, I-98122 Messina, Italy
[2] IRCCS Ctr Neurol Bonino Pulejo, I-98124 Messina, Italy
[3] CNR ISASI, I-98164 Messina, Italy
关键词
Big Data; cloud computing; data visualization; Geo [!text type='java']java[!/text]script object notation (Geo[!text type='JSON']JSON[!/text]); Internet of Things (IoT); telemedicine; HEALTH; TECHNOLOGY; BENEFITS; SYSTEM;
D O I
10.1109/TII.2018.2842234
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:490 / 497
页数:8
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