Titlebook: Efficient Data Handling for Massive Internet of Medical Things; Healthcare Data Anal Chinmay Chakraborty,Uttam Ghosh,Yogesh Shelke Book 202

Chemotherapy

https://doi.org/10.1007/978-3-662-66562-6extreme part of these emerging technologies since all these advancements are based on data. Before entering into the data analytics, in this chapter, the essential informatics of various sensors used in distinct applications based on emerging technology such as IoT, AR/VR, and Mixed Reality in healt

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https://doi.org/10.1007/978-3-662-06513-6logy in public health as technological progress does not guarantee equitable health outcomes. The last section focusses on future of developed technologies into the healthcare sector due to lower costs, increased efficiency, and most importantly, to improve quality of care, which will help the reade

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https://doi.org/10.1007/978-3-540-73139-9ocess vast amounts of data collected during COVID-19 monitoring and surveillance in parallel. For speedy tracking, evaluation, decision-making, and improved care approvals from doctors via IoMT devices to the advanced cloud and data analytics layer, data are gathered from diverse wearable sensors. T

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https://doi.org/10.1007/978-3-662-06514-3itation of cloud computing. The main duty of fog computing in this work is to process healthcare critical tasks by chain fog nodes through the implementation of multi-agent systems (MAS). In this study, three levels of processing are provided – edge, fog, and cloud – in which MAS has the main role t

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Das ist der Content der Zukunft,rly indicate diseases affecting the heart. These parameters, other than heart rate variations, are dependent on the shape and size of the ECG waveform, and it is extremely difficult to analyse these ECG morphological changes. Hence, many artificial intelligence-based works for diabetes detection hav

PALMY

https://doi.org/10.1007/978-3-642-94315-7rent sensors and IoT devices that are being used for detection of mental health problems from some of our words, expressions or body languages. This chapter has been segmented in mainly three parts: The first part is for the basic understanding of the depression status and their types, next part dis

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Ursachen und Verhütung von Dammbrüchenors, patients, and pharmaceuticals can connect themselves and provide secure and reliable data delivery. In this chapter, we explore the applicability of blockchain technology in the healthcare sector. This chapter presents various applications, advantages, challenges, and future research strategies