With the explosion of Big Data, visualizing sta- tistical data became a challenging topic that has involved many research efforts over the last years. Interpreting Big Data and efficiently showing information for good under- standing are difficult tasks, especially in healthcare scenar- ios, 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. How- ever, they do not satisfy the visualization needs of physi- cians 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 physi- cian 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.

An Innovative Methodology for Big Data Visualization for Telemedicine

Galletta, Antonino
Primo
;
Carnevale, Lorenzo
Secondo
;
Bramanti, Alessia
Penultimo
;
Fazio, Maria
Ultimo
2019-01-01

Abstract

With the explosion of Big Data, visualizing sta- tistical data became a challenging topic that has involved many research efforts over the last years. Interpreting Big Data and efficiently showing information for good under- standing are difficult tasks, especially in healthcare scenar- ios, 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. How- ever, they do not satisfy the visualization needs of physi- cians 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 physi- cian 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.
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3135622
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