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dc.contributor.authorPlageras, Andreas P.-
dc.contributor.authorStergiou, Christos-
dc.contributor.authorKokkonis, Georgios-
dc.contributor.authorPsannis, Kostas E.-
dc.contributor.authorIshibashi, Yutaka-
dc.contributor.authorKim, Byung-Gyu-
dc.contributor.authorGupta, Brij B.-
dc.date.accessioned2019-10-29T07:38:40Z-
dc.date.available2019-10-29T07:38:40Z-
dc.date.issued2017-07-26-
dc.identifier10.1109/CBI.2017.3en_US
dc.identifier.isbn978-1-5386-3036-5en_US
dc.identifier.urihttps://doi.org/10.1109/CBI.2017.3en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/222-
dc.description.abstractRecent 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectFRASCATI::Engineering and technologyen_US
dc.subject.otherBig Dataen_US
dc.subject.otherCloud Computingen_US
dc.subject.otherIoTen_US
dc.subject.otherHealthcareen_US
dc.titleEfficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Thingsen_US
dc.typeBook chapteren_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volumetitle2017 IEEE 19th Conference on Business Informatics (CBI)en_US
local.identifier.eisbn978-1-5386-3035-8en_US
local.identifier.eissn2378-1971en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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