Abstract
In this chapter, author will discuss our proposed model for real-time management of smart health care that can be utilized both by hospitals, ambulance, and even at normal day-to-day activity tracker and requires no technical or medical knowledge to start with. As per the survey, about 40% of world’s total deaths due to any disease can be prevented if an earlier diagnosis is made. People tend to avoid health and healthcare practices now either it is due to the busy schedule or lack of money. So, the research work focuses on incorporating technology into people life without disturbing their daily routine and does not require separate time to use. This technology is powered by IoT and uses many biosensors to give real-time solutions, prescribe medication, earlier detection of diseases, give a better understanding of patients current health and past health and significantly reduces medical expenses, and by having more information about patient health doctors can operate and treat the patient with a better approach. This technology works when the user sleeps and learns when the user performs day-to-day task with the help of machine learning.
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Singh, R., Singh, P., Kharb, L. (2020). Proposing Real-Time Smart Healthcare Model Using IoT. In: Raj, P., Chatterjee, J., Kumar, A., Balamurugan, B. (eds) Internet of Things Use Cases for the Healthcare Industry. Springer, Cham. https://doi.org/10.1007/978-3-030-37526-3_2
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DOI: https://doi.org/10.1007/978-3-030-37526-3_2
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