• DocumentCode
    2382905
  • Title

    A knowledge-based decision system for healthcare diagnosis and advisory

  • Author

    Chung, Ping-Tsai ; Chen, Bing-Xing

  • Author_Institution
    Dept. of Comput. Sci., Long Island Univ., Brooklyn, NY, USA
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    2357
  • Lastpage
    2362
  • Abstract
    In this paper, we present a knowledge-based decision system for healthcare. It not only performs intelligent diagnoses but also produces inferential advices for the interrelated diseases involving overweight or obese, diabetes, high blood pressure and high cholesterol conditions. Moreover, it performs deep diagnoses for the pregnant Asian women; for the unknown type of diabetes and for the risk of a heart attack and stroke increases. Also, it generates a risk report to remind patients to pay attention on their health. Our knowledge-based decision system provides the efficient and effective way to take care of the patient´s health, to promote the human´s quality of life and to provide disease monitoring and control to alleviate or to reduce the medical condition. In the long-term, this system will help us to reduce our medicare investments and to provide high quality healthy lives.
  • Keywords
    decision support systems; health care; knowledge based systems; medical diagnostic computing; diabetes; disease control; disease monitoring; healthcare advisory; healthcare diagnosis; heart attack; high blood pressure; high cholesterol conditions; intelligent diagnoses; interrelated diseases; knowledge-based decision system; obese; overweight; stroke; Blood pressure; Diabetes; Diseases; Hardware design languages; Heart; Knowledge based systems; Knowledge-based decision system; expert system; forward chaining inference; healthcare advisory; intelligent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6084030
  • Filename
    6084030