DocumentCode :
3353492
Title :
Periscopic visualizes symptomatology of pandemic: VAST 2010 Mini Challenge 2 award: Effective visualization of symptoms
Author :
Rees, K.
fYear :
2010
fDate :
25-26 Oct. 2010
Firstpage :
283
Lastpage :
284
Abstract :
By using affordable, off-the-shelf software and novel visualization methods, characterizing the spread of a pandemic was achieved for the VAST Challenge. Dashboards of the presenting symptomatology, anomalies, and death records all contributed to creating ways for health officials better detect and analyze the spread of the disease.
Keywords :
data analysis; data mining; data visualisation; diseases; health care; medical administrative data processing; VAST Challenge; anomalies; dashboards; death records; disease; health officials; off-the-shelf software; pandemic spread; periscopic visualizes; symptomatology; data mining; data sharing; medical information systems; visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
Type :
conf
DOI :
10.1109/VAST.2010.5652678
Filename :
5652678
Link To Document :
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