TY - GEN
T1 - A review of big data analytics in the biomedical field
AU - Jatmiko, Wisnu
AU - Arsa, Dewa Made Sri
AU - Wisesa, Hanif
AU - Jati, Grafik
AU - Ma'Sum, M. Anwar
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/6
Y1 - 2017/3/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85017021446&partnerID=8YFLogxK
U2 - 10.1109/IWBIS.2016.7872886
DO - 10.1109/IWBIS.2016.7872886
M3 - Conference contribution
AN - SCOPUS:85017021446
T3 - 2016 International Workshop on Big Data and Information Security, IWBIS 2016
SP - 31
EP - 39
BT - 2016 International Workshop on Big Data and Information Security, IWBIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Workshop on Big Data and Information Security, IWBIS 2016
Y2 - 18 October 2016 through 19 October 2016
ER -