• DocumentCode
    2620966
  • Title

    Fuzzy Logic Decision Making for an Intelligent Home Healthcare System

  • Author

    Gatton, Thomas M. ; Lee, Malrey

  • Author_Institution
    Sch. of Eng. & Technol., Nat. Univ., San Diego, CA, USA
  • fYear
    2010
  • fDate
    21-23 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing trends of an aging population and the occurrence of chronic diseases, such as diabetes and dementia, present serious near-term problems in providing suitable healthcare within the existing medical system infrastructure. With the increasing number of patients, the existing healthcare systems will be overloaded and unable to effectively process the rising demand and an effective solution must be developed for the real-time response requirements of critical health situations. This paper proposes a fuzzy logic based decision making system for home health care. The proposed system can provide an innovative resource and a supplement for the existing healthcare systems. The proposed home healthcare system is implemented for diabetes management and decision making. An analysis and evaluation of the system performance are presented along with the conclusions of the research.
  • Keywords
    decision making; diseases; fuzzy logic; geriatrics; health care; home automation; aging population; chronic diseases; diabetes management; fuzzy logic decision making; intelligent home healthcare system; medical system infrastructure; Aging; Decision making; Dementia; Diabetes; Diseases; Fuzzy logic; Intelligent systems; Medical services; Performance analysis; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology (FutureTech), 2010 5th International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-6948-2
  • Type

    conf

  • DOI
    10.1109/FUTURETECH.2010.5482667
  • Filename
    5482667