An IoT, Virtual Machines and Cloud Computing-based Framework for an Optimal Management of Healthcare Data Collected from a Smart Environment. A Case Study: RO-Smart Ageing Project

Nicolau, Dragoş; Alexandru, Adriana; Ianculescu, Marilena

doi:10.12948/issn14531305/23.3.2019.07

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…In [10], new healthcare system was proposed to overcome the delay with traditional WMS. A model for monitoring and processing the received data was used.…”

Section: Related Workmentioning

confidence: 99%

A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

Alsarhan¹,

Almalkawi²,

Kilani³

2021

Int. J. Interact. Mob. Technol.

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<p class="0abstract">The continuous advancements in wireless network systems have reshaped the healthcare systems towards using emerging communication technologies at different levels. This paper makes two major contributions. Firstly, a new monitoring and tracking wireless system is developed to handle the COVID-19 spread problem. Unmanned aerial vehicles (UAVs), i.e., drones, are used as base stations as well as data collection points from Internet of Things (IoT) devices on the ground. These UAVs are also able to exchange data with other UAVs and cloud servers. Secondly, this paper introduces a new reinforcement learning (RL) framework for learning the optimal signal-aware UAV trajectories under quality of service constraints. The proposed RL algorithm is instrumental in making the UAV movement decisions that maximize the signal power at the receiver and the data collected from the ground agents. Simulation experiments confirm that the system overcomes conventional wireless monitoring systems and demonstrates efficiency especially in terms of flexible continues connectivity, line-of sight visibility, and collision avoidance.</p>

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“…In [10], new healthcare system was proposed to overcome the delay with traditional WMS. A model for monitoring and processing the received data was used.…”

Section: Related Workmentioning

confidence: 99%

A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

Alsarhan¹,

Almalkawi²,

Kilani³

2021

Int. J. Interact. Mob. Technol.

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Security and Privacy Risks for Remote Healthcare Monitoring Systems

Ianculescu

Coardoş

Bica

et al. 2020

2020 International Conference on E-Health and Bioengineering (EHB)

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Big Data Applications in Healthcare Administration

Kasten

2022

Research Anthology on Big Data Analytics, Architectures, and Applications

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The healthcare industry has a growing record of using big data-related technologies such as data analytics, internet of things, and machine learning, especially in the clinical areas. However, healthcare institutions must also perform all of the administrative processes just as any other organization. Thus, like many other industries, healthcare has begun to apply these same technologies to improve their understanding of these internal operations and use them to make better decisions and run a more effective operation. This study takes a structured literature review approach to describe the current state of this literature and identify the major themes and priorities of both the research community and the healthcare industry as a whole. The contribution made by this study is to provide a comprehensive analysis of the state of the literature to use as a foundation for the future research opportunities noted in the paper.

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An IoT, Virtual Machines and Cloud Computing-based Framework for an Optimal Management of Healthcare Data Collected from a Smart Environment. A Case Study: RO-Smart Ageing Project

Cited by 4 publications

References 10 publications

A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

A New Covid-19 Tracing Approach using Machine Learning and Drones Enabled Wireless Network

Security and Privacy Risks for Remote Healthcare Monitoring Systems

Big Data Applications in Healthcare Administration

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