• DocumentCode
    1886199
  • Title

    The development of a rule-based asthma system

  • Author

    Nee, Goh Kim ; Syafiq, Muhammad Azlil ; Sugathan, Savita K. ; Yie, Chen Yoke ; Akhir, Emelia Akashah Patah

  • Author_Institution
    Comput. Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • Volume
    3
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    1104
  • Lastpage
    1108
  • Abstract
    Asthma is a very common disease that may become lethal if remained untreated. An asthma patient must always be alert with their body condition, especially their respiratory and the surroundings they are in. This paper proposes a development of a rule-based asthma system. This system provides advice for patients who would like to know the chances of getting an asthma attack are based on the patient´s current asthma condition and surrounding environment. To do so, the patients will answer questions to enable the system to understand their current health condition and the environment they are living in. It will then provide suggestions to avoid the attack, or to hasten asthma recovery, which includes environmental factors. Data regarding asthma was gathered through an interview with doctors and online medical resources. A rule-based algorithm was developed based on the data gathered. With this program, it allows patient´s self-management to lead a healthy, asthma-free lifestyle.
  • Keywords
    health care; knowledge based systems; patient monitoring; asthma attack; asthma patient; asthma recovery; asthma-free lifestyle; body condition; disease; environmental factor; health condition; online medical resource; patient asthma condition; patient self-management; respiratory; rule-based algorithm; rule-based asthma system; Artificial intelligence; Diseases; Green products; Guidelines; Hospitals; Pediatrics; Asthma; expert system; patient´s self-management; rule-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology (ITSim), 2010 International Symposium in
  • Conference_Location
    Kuala Lumpur
  • ISSN
    2155-897
  • Print_ISBN
    978-1-4244-6715-0
  • Type

    conf

  • DOI
    10.1109/ITSIM.2010.5561614
  • Filename
    5561614