Xanthidis, Dimitrios and Manolas, Christos and Xanthidou, Ourania Koutzampasopoulou and Adnan, Omar and Jamal, Khalifa (2020) Smart health: Sensors, big Data, and cloud computing in the health sector in the U.A.E. In: Proceedings - 24th International Conference on Circuits, Systems, Communications and Computers, CSCC 2020, 19-22 July 2020, Platanias, Chania, Crete Island.
Full text not available from this repository.Abstract
The role of healthcare is critical in all communities, and the development of efficient healthcare systems is a top priority for governments and health organizations on a world-wide basis. With the technological advances of the past decades transforming almost every aspect of our lives, it is unsurprising that healthcare has become the subject of rapid, technologically-driven transformations under the concept of smart health. This is an umbrella term covering a range of underlying concepts and technologies, such as wearable devices and sensors and the use of big data and cloud computing in the broader context of health services and infrastructures 1. The purpose of this study is to explore how these three main components of the smart health model, are integrated into, and affecting the smart health systems in the U.A.E. © 2020 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Big Data; Cloud Computing; Sensors and Wearables; Smart Health; U.A.E |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 03 Jul 2024 07:21 |
| Last Modified: | 03 Jul 2024 07:21 |
| URI: | http://eprints.um.edu.my/id/eprint/35921 |
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