• DocumentCode
    2063787
  • Title

    Intelligent techniques for business intelligence in healthcare

  • Author

    Mach, Maria Antonina ; Salem, I Abdel-Badeeh M

  • Author_Institution
    Artificial Intell. Syst. Dept., Univ. of Econ., Wroclaw, Poland
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    545
  • Lastpage
    550
  • Abstract
    Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.
  • Keywords
    competitive intelligence; data mining; expert systems; grid computing; health care; artificial intelligence; business intelligence; data mining; expert systems; grid computing; healthcare organization; intelligent techniques; knowledge acquisition; Business Intelligence; Data mining; Expert Systems; Grid Computing; Healthcare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8134-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2010.5687209
  • Filename
    5687209