A Brief Introduction to Process and Analyze Healthcare Big Data on Cloud Environment

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

With rapid growth of development in healthcare applications,large amount of heterogeneous data are generated by healthcare organizations. It is very difficult to process the huge volume of data by using traditional data processing systems. Healthcare applications are being supplied through internet and cloud services rather than using a traditional software. Without applying proper data analytics methods, these data became useless. The data need to be processed and analyzed effectively for better decision making. The critical challenge that the healthcare organizations are facing is, how to analyze the large-scale data. In this paper we discuss on introduction to the big data characteristics, to process and analyze large scale healthcare data using Hadoop on cloud computing environment.

References

[1] Chang, R.M. Kauffman, R.J., Kwon, Y.(2014), “Understanding the paradigm shift to computational social science in the presence of big data”, Decision Support Systems, Vol. 63, pp 67-80.

[2] Fan, S. Lau, R.Zhao. J.L (2015), “Demystifying big data Analytics for business Intelligence through the less of marketing Mix”, Big data Research, Vol 2. pp 28-32.

[3] Jagadish, H.V (2015), “ Big data and Science: Myths and reality” Big data research, Vol 2, pp 49-52.

[4] B. Hayes “Cloud computing”, comun. ACM.Vol 51, no 7, pp, 9-11, 2008.

[5] Victor, N., Lopez, D., &Abawajy, J. H.. Privacy models for big data: a survey. International Journal of Big Data Intelligence, 2016 3(1), 61-75.

[6] Sagiroglu, Sinanc, "Big Data: A Review", 978- 1-4673-6404-1/13 IEEE.

[7] JoonsangBaek, QuangHieu Vu, Joseph K. Liu, Xinyi Huang, Yang Xiang, “A secure cloud computing based framework for Big data information management of smart Grid”, IEEE transactions on cloud computing, Vol 2, No 2, June 2015.

[8] Singh, S.; Singh, N., "Big Data analytics," Communication, Information & Computing Technology (ICCICT), 2012 International Conference on , vol., no., pp.1,4, 19-20 Oct. 2012

[9] O. Terzo, P. Ruiu, E.Bucci and F.xhafa, “Data as a service”, (DaaS) for sharing and processing of large data collections in the cloud. Pp 475-480.

[10] W.B. Nelson, Accelerated testing, statistical models, test plans and data analysis, John Wiley & Sons, 2009.

[11] C.M Bishop, Pattern recognition and machine learning Springer New York 2006.

[12] J. J. Borckardt, M. R. Nash, M. D. Murphy, M. Moore, D. Shaw, and P. O?Neil, “Clinical practice as natural laboratoryfor psychotherapy research: a guide to case-based time-series analysis,” The American Psychologist, vol. 63, no. 2, pp. 77–95,2008.

[13] L. A. Celi, R.G.Mark, D. J. Stone, and R.A.Montgomery, “„Big data? in the intensive care unit: closing the data loop,” American Journal of Respiratory and Critical Care Medicine, vol. 187, no. 11, pp. 1157–1160, 2013.

Keywords

Big data, Cloud, Hadoop, Big data tools, Healthcare.