• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3353492