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• W2129011630 abstract "In the last few years, healthcare systems around the globe have undergone an increasing pressure to improve healthcare services through effective prevention, for chronicdisease patients as well as the general population. Growth of governments healthcare spending which is fuelled by an aging population and increase of chronic diseases.With advancement in information technology, healthcare organisations are now moving towards mobile healthcare which is an emerging field of technology that uses wireless network communication technologies to monitor patients mental and physical conditions. In this work, we develop an access mechanism of healthcare networks for patients by classifying the personal physiological parameters. We investigate the network performance under the proposed scheme, including access probability of patients and system utilization. The numerical results indicate that the proposed scheme with classifying physiological parameters can effectively increase QoS of networks." @default.
• W2129011630 created "2016-06-24" @default.
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• W2129011630 date "2014-06-09" @default.
• W2129011630 modified "2023-09-27" @default.
• W2129011630 title "High Access Performance Strategy for Next Generation Healthcare Networks" @default.
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• W2129011630 doi "https://doi.org/10.4304/jnw.9.6.1477-1484" @default.
• W2129011630 hasPublicationYear "2014" @default.
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