Review of big data analytics in the biomedical field
Date
2016
Authors
Jatmiko, W.
Arsa, D.M.S.
Wisesa, H.
Jati, G.
Ma'sum, M.A.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
2016 International Workshop On Big Data And Information Security (IWBIS), 2016, pp.31-39
Statement of Responsibility
Conference Name
International Workshop on Big Data and Information Security (IWBIS) (18 Oct 2016 - 19 Oct 2016 : East Jakarta, Indonesia)
Abstract
In the recent years, the volume of data that exists in the world has risen dramatically. Biomedical data are data that are recorded from a living being that is used to help analyzing and diagnosis of a certain illness. Like many other types of data, the volume biomedical data has also risen in the last couple of years. In order to process this large amount of data, conventional processing techniques are not adequate. In this paper, we discuss several approach in processing large amount of biomedical data. This paper will also discuss several variations of biomedical data and the challenge that are faced when processing those biomedical data in large sizes. We also proposed integrated Tele-health system which combine Tele-ECG, Tele-USG, and existing biomedical application. The system will be implemented on Big Data Framework. Then Tele-health development can be done using the phase that we propose. The system is started by developing end-to-end user system, implementation to Big Data Framework, then it is finished by Clinical Practice. The proposed framework can be used for high standard biomedical system.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2016 IEEE