• DocumentCode
    3717085
  • Title

    AEGLE: A big bio-data analytics framework for integrated health-care services

  • Author

    Dimitrios Soudris;Sotirios Xydis;Christos Baloukas;Anastasia Hadzidimitriou;Ioanna Chouvarda;Kostas Stamatopoulos;Nicos Maglaveras;John Chang;Andreas Raptopoulos;David Manset;Barbara Pierscionek;Reem Kayyali;Nada Phillip;Tobias Becker;Katerina Vaporidi;Eu

  • Author_Institution
    Institute of Communications and Computer Systems, GR
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    246
  • Lastpage
    253
  • Abstract
    AEGLE project1 targets to build an innovative ICT solution addressing the whole data value chain for health based on: cloud computing enabling dynamic resource allocation, HPC infrastructures for computational acceleration and advanced visualization techniques. In this paper, we provide an analysis of the addressed Big Data health scenarios and we describe the key enabling technologies, as well as data privacy and regulatory issues to be integrated into AEGLE´s ecosystem, enabling advanced health-care analytic services, while also promoting related research activities.
  • Keywords
    "Big data","Medical services","Biomedical imaging","Computational modeling","Analytical models","Data models","Europe"
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/SAMOS.2015.7363682
  • Filename
    7363682
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3717085