• DocumentCode
    2095818
  • Title

    Visual Analytical Methods to Identify Family Clustered Diseases

  • Author

    Fuchsberger, Christian ; Forer, Lukas ; Pattaro, Cristian ; Hicks, Andrew ; Pramstaller, Peter ; Miksch, Silvia

  • Author_Institution
    Dept. of Genetic Med., EURAC, Bolzano
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    602
  • Lastpage
    604
  • Abstract
    The study of isolated populations is a promising approach for the identification of genes conferring susceptibility to disease. Due to the complex genealogies of such populations epidemiological studies are challenging.We present ongoing research to using a visual analytics based approach for the identification of diseases that cluster in families, risk factors and heritability patterns.
  • Keywords
    diseases; medical computing; pattern clustering; complex genealogies; family clustered diseases; heritability patterns; visual analytical methods; Cardiac disease; Cardiovascular diseases; Data visualization; Diabetes; Genetics; History; Information analysis; Knowledge engineering; Medical diagnostic imaging; Visual analytics; Clustering; Isolated Populations; Pedigree drawing; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.60
  • Filename
    4562066
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2095818