Title :
Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques
Author :
Maciejewski, Ross ; Hafen, Ryan ; Rudolph, Stephen ; Tebbetts, George ; Cleveland, William S. ; Grannis, Shaun J. ; Ebert, David S.
Abstract :
This system generates synthetic syndromic-surveillance data for evaluating visualization and visual-analytics techniques. Modeling data from emergency room departments, the system generates two years of patient data, into which system users can inject spatiotemporal disease outbreak signals. The result is a data set with known seasonal trends and irregular outbreak patterns.
Keywords :
data visualisation; diseases; medical computing; surveillance; patient data; spatiotemporal disease outbreak signals; synthetic syndromic-surveillance data generation; visual-analytics technique evaluation; visualization evaluation; Control systems; Demography; Event detection; Hospitals; Information analysis; Signal analysis; Signal generators; Spatiotemporal phenomena; Testing; Time series analysis; computer graphics; syndromic surveillance; synthetic data; visual analytics;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2009.43
