• DocumentCode
    2012434
  • Title

    Data Aggregation and Analysis: A Grid-Based Approach for Medicine and Biology

  • Author

    Kyriazis, Dimosthenis ; Tserpes, Konstantinos ; Kousiouris, George ; Menychtas, Andreas ; Katsaros, Gregory ; Varvarigou, Theodora

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    841
  • Lastpage
    848
  • Abstract
    A constantly increasing number of applications from various scientific sectors are finding their way towards adopting grid technologies in order to take advantage of their capabilities: the advent of grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. In this paper we present a grid-based approach for aggregation of data that are obtained from various sources (e.g. cameras, sensors) and their analysis with the use of genetic algorithms. By also taking into consideration general historical data and patient-specific medical information, we present the realization of the proposed approach with an application scenario for personalized healthcare and medicine.
  • Keywords
    biology computing; data analysis; genetic algorithms; grid computing; health care; medical computing; biology; data aggregation analysis; genetic algorithm; grid-based approach technology; patient-specific medical information; personalized healthcare; Algorithm design and analysis; Application software; Biomedical imaging; Computational modeling; Concurrent computing; Data analysis; Distributed computing; Grid computing; Medical services; Technology management; Data Aggregation; Data Analysis; Genetic Algorithms; Grid Computing; Healthcare; Medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications, 2008. ISPA '08. International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3471-8
  • Type

    conf

  • DOI
    10.1109/ISPA.2008.34
  • Filename
    4725237