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Abstract

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Keywords:

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Nomenclature

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Structure

The practice of medicine is performed that diagnoses as well as treated the reactive paradigm. The diseases are prognosis in early stages with cure; prevention and overall management process of health care cost reduction improve simultaneously. IoT devices are used principally to enable emergency and health monitoring processes. The health monitoring devices are formed with heart rate and health monitoring process over the notification systems properly.

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© 2021 STAIQC. All rights reserved.

The devices of IoT are range from heart rate monitoring, blood pressure monitoring, advanced devices for specialized implants like pacemakers being for citizens. The sensor people ensure the proper treatment that is well-being assisting and administered to lose the therapy via mobility in different ways as fine. More and more the platforms are formed related to end-to- end health monitoring in IoT that come up for chronic and antenatal patients. Bulleted lists may be included and should look like this:

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Second point

And so on

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Table 1. An example of a table.

IoT applications	Patients	Hospital Staff	For complete healthcare departments
Robotics	Medium level	High level	High level
Wearable’s devices	Strong level	Medium level	High level
Smart cards Non- wearable’s devices	Medium level Low level	Low level Medium level	Medium level Low level

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Average Accuracy Analysis 0.866 0.87 0.86 0.85 0.84 0.83 0.82 0.81 0.8 0.79 0.842 0.845 0.82	NB	RF	KNN	SVM ML Algorithms

Fig. 1. First picture

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References

Klímová, B,. & Kuča, K. (2019). Internet of things in the assessment, diagnostics and treatment of Parkinson’s disease, Health and Technology, 9(2), 87-91.

Tokareva, M.S., Vishnevskiy, K.O., & Chikhun, L.P. (2018). The impact of the Internet of Things technologies on economy. Бизнес-информатика, 3(45), 62-78.

Patil, V., Thakur, S.S., & Kshirsagar, V. (2018, June) Health Monitoring System Using Internet of Things. In 2018 IEEE, Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1523-1525). IEEE.

Wangkhem, K., & Joshi, K. (2018) IoT for Healthcare and Its Challenges. International Educational Journal of Science and Engineering, 1(2), 1-5.

Vyas, J.D., Han, M., Li, L., Pouriyeh, S., & He, J.S. (2020, April). Integrating blockchain technology into healthcare, In Proceedings of the 2020 ACM Southeast Conference (pp. 197-203).

Wang, M.M., Zhang, J., & You, X. (2020). Machine-type communication for maritime Internet of things: a design. IEEE Communications Surveys & Tutorials, 22(4), 2550-2585.

Park, T., & Saad, W.(2019). Distributed learning for low latency machine type communication in a massive internet of things. IEEE Internet of Things Journal, 6(3), 5562-5576.

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