An Innovative Methodology for Big Data Visualization for Telemedicine

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 differe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on industrial informatics Jg. 15; H. 1; S. 490 - 497
Hauptverfasser: Galletta, Antonino, Carnevale, Lorenzo, Bramanti, Alessia, Fazio, Maria
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.01.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Big Data
cloud computing
Data management
Data visualization
Geo javascript object notation (GeoJSON)
Health
Informatics
Internet of Things (IoT)
Medical personnel
Medical services
Physicians
Remote monitoring
Scientific visualization
Task analysis
Telemedicine
Visualization
ISSN:1551-3203, 1941-0050
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2018.2842234