A review of big data analytics in the biomedical field

Wisnu Jatmiko, Dewa Made Sri Arsa, Hanif Wisesa, Grafik Jati, M. Anwar Ma'Sum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

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 Telehealth 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.

Original languageEnglish
Title of host publication2016 International Workshop on Big Data and Information Security, IWBIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-39
Number of pages9
ISBN (Electronic)9781509034772
DOIs
Publication statusPublished - 6 Mar 2017
Event2016 International Workshop on Big Data and Information Security, IWBIS 2016 - Jakarta, Indonesia
Duration: 18 Oct 201619 Oct 2016

Publication series

Name2016 International Workshop on Big Data and Information Security, IWBIS 2016

Conference

Conference2016 International Workshop on Big Data and Information Security, IWBIS 2016
Country/TerritoryIndonesia
CityJakarta
Period18/10/1619/10/16

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