Multiagent System using Data Mining Technique for the Management of Asthma in Mobile Computing Environments.
- Author:
Sung Rim KIM
1
;
Joon Hee KWON
;
Sun Kook YOO
;
Chein Soo HONG
Author Information
1. Department of Internet Information, Seoil College, Korea.
- Publication Type:Original Article
- Keywords:
Asthma;
Mobile;
Data Mining;
Multiagent;
Telemedicine
- MeSH:
Asthma*;
Chronic Disease;
Data Mining*;
Humans;
Korea;
Telemedicine
- From:Journal of Korean Society of Medical Informatics
2004;10(3):311-319
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVE: In the mobile computing environments, doctors or patients with mobile devices can access services at any time, any place. It makes chronic diseases, such as asthma care successively and in long-term. This paper presents a new multiagent system using data mining technique for the management of asthma in mobile computing environments. METHODS: In mobile computing environments, mobile communication is prone to disconnection. To use the services when disconnected, we locally store the recommendation information in mobile devices. Then, when user reconnects network, the new information is delivered in mobile devices. Because mobile devices have a limitation of resource, we store only patterns and recent data. We adopted data mining technique from the large pool of accumulated patients data can be utilized to summarize observed correlations and trends. RESULTS: We propose multiagent system composed of a Pattern Agent, a Selection Agent and a Recommendation Agent. They make asthmatic-caring system access effectively in mobile computing environments. We describe the underlying architecture and the process. Then we make a prototype with asthmatic patients data in the Severance Hospital in Korea. CONCLUSION: The results of our study can be contributed to aid management of asthma in mobile computing environments.
