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- W3080821024 abstract "Abstract The perception of various healthcare vital signs produced from the Internet of Medical Things (IoMT) and discovery of the cluster data and rules generated from crucial tasks will promote and assist important real-time decision-making in healthcare. The IoMT application in a smart healthcare state can constantly remotely monitor patients and aid with assistance while the critical or unusual cases are discovered in the data on the vital sign. This chapter presents an effective framework for the analysis of the periodic data cluster obtained from IoMT. Also, we employ a correlation test on the acquired cluster nodes and improve treatment and smart healthcare, especially for seniors in the smart hospital or home. We have developed an efficient framework named swarm intelligence for the Internet of Medical Things (SIoMT) to discover and manage useful-data grouped using these measures at an early stage by developing the bee colony optimization, which may reduce the time usage. The use of the SIoMT framework for the distributed node has been widely explored. So, SIoMT becomes the de facto framework for analysis and management of the data groups. Furthermore, some experiments are performed to validate the effectiveness of the proposed SIoMT framework and compared with recent works." @default.
- W3080821024 created "2020-09-01" @default.
- W3080821024 creator A5005095819 @default.
- W3080821024 creator A5059775848 @default.
- W3080821024 date "2020-01-01" @default.
- W3080821024 modified "2023-09-25" @default.
- W3080821024 title "A new swarm intelligence framework for the Internet of Medical Things system in healthcare" @default.
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- W3080821024 doi "https://doi.org/10.1016/b978-0-12-818287-1.00010-3" @default.
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