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- W2147510106 abstract "Healthcare is a field where ubiquitous computing is most widely used. We propose a mining-based healthcare multi-agent system for ubiquitous computing environments. This proposed scheme select diagnosis patterns using mining in the real-time biosignal data obtained from a patient`s body. In addition, we classify them into normal, emergency and be ready for an emergency. This proposed scheme can deal with the enormous quantity of real-time sensing data and performs analysis and comparison between the data of patient`s history and the real-time sensory data. We separate Association rule exploration into two data groups: one is the existing enormous quantity of medical history data. The other group is real-time sensory data which is collected from sensors measuring body temperature, blood pressure, pulse. Proposed system has advantage that can handle urgent situation in the far away area from hospital through PDA and mobile device. In addition, by monitoring condition of patient in a real time base, it shortens time and expense and supports medical service efficiently." @default.
- W2147510106 created "2016-06-24" @default.
- W2147510106 creator A5004303721 @default.
- W2147510106 date "2009-09-30" @default.
- W2147510106 modified "2023-09-24" @default.
- W2147510106 title "A Mining-based Healthcare Multi-Agent System in Ubiquitous Environments" @default.
- W2147510106 cites W2151415632 @default.
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- W2147510106 doi "https://doi.org/10.5762/kais.2009.10.9.2354" @default.
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