Paper Info
Title
Efficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Things
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.
Year
DOI
Venue
2017
10.1109/CBI.2017.3
2017 IEEE 19th Conference on Business Informatics (CBI)
Keywords
Field
DocType
Big Data,Cloud Computing,IoT,Healthcare
Data science,Health sector,World Wide Web,Research proposal,Computer science,Internet of Things,Cloud server,Cloud computing security,eHealth,Big data,Cloud computing
Conference
Volume
ISSN
ISBN
02
2378-1963
978-1-5386-3036-5
Citations 
PageRank 
References 
8
0.53
8
Authors
7
Name
Order
Citations
PageRank
Andreas P. Plageras1363.20
Christos Stergiou21878.88
George Kokkonis3608.18
Kostas E. Psannis444329.71
Yutaka Ishibashi565376.63
Byung-Gyu Kim639639.17
B. Brij Gupta71766.19