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
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;
Conference_Titel :
Information Technology (ITSim), 2010 International Symposium in
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6715-0
DOI :
10.1109/ITSIM.2010.5561614