Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/222
Title: Efficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Things
Authors: Plageras, Andreas P.
Stergiou, Christos
Kokkonis, George
Psannis, Kostas E.
Ishibashi, Yutaka
Kim, Byung-Gyu
Gupta, B. Brij
Type: Book chapter
Subjects: FRASCATI::Engineering and technology
Keywords: Big Data
Cloud Computing
IoT
Healthcare
Issue Date: 26-Jul-2017
Publisher: IEEE
Volume Title: 2017 IEEE 19th Conference on Business Informatics (CBI)
Abstract: Recent technologies such as Big Data could be used in order to help the improvement of other fields except for the telecommunication field. Due to the Health field, the Big Data technology could contribute with the aim to help for the purpose of analysis and management of the huge amounts of health data. The main objective of this research proposal is an analytical study of the technologies IoT, Cloud Computing (CC) and largescale data (Big Data) to resolve various issues facing the health sector in relation to these technologies. The purpose of the research proposal is the collection of medical (e-health) big data in real time. The collection will be performed by sensor devices and actuators, which will wear patients who suffer from various ailments. Then is following, the transfer of these data through a network to a cloud server. Additionally, these data will be processed in the cloud which makes its analysis so as to become meaningless. By the analysis of these data is done the data mining. Finally, to address the various problems in the health sector, the transfer of the analyzed health data will be heRecent technologies such as Big Data could be used in order to help the improvement of other fields except for the telecommunication field. Due to the Health field, the Big Data technology could contribute with the aim to help for the purpose of analysis and management of the huge amounts of health data. The main objective of this research proposal is an analytical study of the technologies IoT, Cloud Computing (CC) and large-scale data (Big Data) to resolve various issues facing the health sector in relation to these technologies. The purpose of the research proposal is the collection of medical (e-health) big data in real time. The collection will be performed by sensor devices and actuators, which will wear patients who suffer from various ailments. Then is following, the transfer of these data through a network to a cloud server. Additionally, these data will be processed in the cloud which makes its analysis so as to become meaningless. By the analysis of these data is done the data mining. Finally, to address the various problems in the health sector, the transfer of the analyzed health data will be held by the devices of the relevant persons. Also, in our study, we will deal with the security of medical data which constitute personal data and must be protected.ld by the devices of the relevant persons. Also, in our study, we will deal with the security of medical data which constitute personal data and must be protected.
URI: https://doi.org/10.1109/CBI.2017.3
https://ruomo.lib.uom.gr/handle/7000/222
ISBN: 978-1-5386-3036-5
Electronic ISBN: 978-1-5386-3035-8
Electronic ISSN: 2378-1971
Other Identifiers: 10.1109/CBI.2017.3
Appears in Collections:Department of Applied Informatics

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