• DocumentCode
    3681190
  • Title

    Fuzzy Partition Rules for Heart Arrhythmia Detection

  • Author

    Omar Behadada;Marcello Trovati

  • Author_Institution
    Dept. of Biomed. Eng., Fac. of Technol., Algeria
  • fYear
    2015
  • Firstpage
    463
  • Lastpage
    466
  • Abstract
    In this paper, we discuss a method to define semi-automatically fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilization of big data in the medical sector.
  • Keywords
    "Accuracy","Decision trees","Electrocardiography","Data mining","Pragmatics","Medical diagnostic imaging","Fuzzy logic"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCOS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/INCoS.2015.50
  • Filename
    7312118
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3681190