• DocumentCode
    3738579
  • Title

    Integration framework of Chronic Disease management system and a recommender system in the United Arab Emirates

  • Author

    Modafar Ati;Wail Omar;Asmaa S. Hussein

  • Author_Institution
    College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
  • fYear
    2015
  • Firstpage
    570
  • Lastpage
    574
  • Abstract
    With the ever increase in ICT in the last decade has enabled the advancement in healthcare management systems. Recent development made it possible to remotely monitoring patients as part of attempts to build e-health systems. In this work we are proposing an integration method that combines both an eHealth management system used for diagnosing with a recommender system that provide advice to patients. The work consists of many stages including building a knowledge base system along with capturing physicians´ knowledge in diagnosing different cases. This is done in order to build a robust and accurate prediction management system. This system is then integrated with a recommender system that is able to provide an accurate advice to patients. The integrated system is anticipated to provide a 24/7 access to patients as well as reducing the pressure on healthcare providers. The data used to build the system is based on data collected from the GCC region.
  • Keywords
    "5G mobile communication","Diseases","Physiology","Signal processing","Information technology","Complexity theory"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2015.7394402
  • Filename
    7394402