• DocumentCode
    812925
  • 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.

  • Volume
    29
  • Issue
    3
  • fYear
    2009
  • Firstpage
    18
  • Lastpage
    28
  • 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;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2009.43
  • Filename
    4909115