• DocumentCode
    70617
  • Title

    Interactive Visual Analysis of Heterogeneous Cohort-Study Data

  • Author

    Angelelli, Paolo ; Oeltze, Steffen ; Haasz, Judit ; Turkay, Cagatay ; Hodneland, Erlend ; Lundervold, Arvid ; Lundervold, Astri J. ; Preim, Bernhard ; Hauser, Helwig

  • Volume
    34
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    70
  • Lastpage
    82
  • Abstract
    This approach enables the visual exploration and analysis of large amounts of heterogeneous data, helping to generate and validate hypotheses. It uses a data-cube-based model to handle overlapping data subsets. This enables seamless integration of the data during visualization and the linking of spatial and nonspatial views of the data.
  • Keywords
    data integration; distributed databases; interactive systems; data integration; data subsets; data-cube-based model; heterogeneous cohort-study data; interactive visual analysis; nonspatial views; spatial views; visual exploration; Analytical models; Anisotropic magnetoresistance; Biomedical imaging; Data models; Data visualization; Medical services; Visual analytics; computer graphics; graphics; heterogeneous data; interactive visual analysis; medical visualization; visual analytics; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2014.40
  • Filename
    6785926
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=70617