Titlebook: Enhanced Telemedicine and e-Health; Advanced IoT Enabled Gon?alo Marques,Akash Kumar Bhoi,Begonya Garcia-Za Book 2021 The Editor(s) (if app

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Decibel

https://doi.org/10.1007/978-1-4614-8758-6tems. These sensors are connected to the Internet for efficient data dissemination from anywhere and anytime so that it is called Internet of Things (IoT). Data can be processed in Cloud Computing (CC) for analysis and comparison. To reduce the latency of retrieving data from sensitive applications,

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https://doi.org/10.1007/978-1-349-00652-6present a review of recent developments and applications of the Internet of Things (IoT) for an enhanced medical decision. The main findings in this work have been to identify how intelligent systems can help improve the medical decision-making process, making an expanded summary of the area and poi

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https://doi.org/10.1007/1-4020-3526-8mber of cancer cases is growing yearly, medical systems are an essential tool to speed up the diagnosis process and increase patient survival probabilities. Electronic health record systems store the patient’s health data, which can be of structured and unstructured types. Physicians use all the inf

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https://doi.org/10.1057/9780230510098o meet the needs of the body. This means that the heart is overworked and unable to respond to the speed and demands of other activities. This will lead to fatigue and shortness of breath while performing daily activities. In this research, the authors apply a machine learning model to predict heart

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