• DocumentCode
    2191930
  • Title

    BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis

  • Author

    Veeramachaneni, Hanisha ; Vadapalli, Soujanya ; Karlapalem, Kamalakar

  • Author_Institution
    Center for Data Eng., Int. Inst. of Inf. Technol., Hyderabad, India
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    442
  • Lastpage
    449
  • Abstract
    Active day-to-day analysis of hospital record entries can help alert possible disease outbreaks. Such information could help health authorities in planning prevention and minimizing the influence of the disease outbreak. Given a set of hospital entry records of patients, we developed a toolkit named BODY to analyse the data - historical and current - to present insights into disease outbreak patterns and abnormal patterns in symptom incidences. From the analysis, we aim to predict a possible outbreak of diseases detailing symptoms, time zones and mortality rates. We illustrate BODY´s utility on the VAST 2010 Challenge Data containing hospital data entries from 11 cities across the world.
  • Keywords
    data analysis; data visualisation; diseases; health care; medical administrative data processing; records management; BODY; VAST 2010 challenge data; data analysis; disease outbreak analysis; disease symptom; health authority; hospital record entry; patient record; Data Analytics; Medical Data; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.193
  • Filename
    5693331