A Survey: Big Data Analytics in Health
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-50 Number-3 |
||
| Year of Publication : 2017 | ||
| Authors : Simardeep Kaur, Mainder Singh |
Simardeep Kaur, Mainder Singh "A Survey: Big Data Analytics in Health". International Journal of Computer Trends and Technology (IJCTT) V50(3):143-146, August 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
`Big-Data’ is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ‘Big-data’. A major area of research of big data exists in healthcare field. The present study is an attempt to focus on classification of imbalanced huge amounts of dataset in medical field. However, issues related to accuracy, integrity exists in use of big data in medical field. Analytics of big data in healthcare can provide both clinical and management benefits. The present study will attempt to present Big-data, tools and approaches for analysis of health informatics to help advance understanding of medicine and medical practice.
References
[1] VibhavariChavan and Rajesh N. Phursule, “Survey Paper on Big Data”, International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014, 7932-7939.
[2] Ashwin Belle, RaghuramThiagarajan, S.M. Reza Soroushmehr, FatehmehNavidi, Daniel A. Beard and KayvanNajarian, “ Big Data Analytics in Healthcare”, Hindawi Publishing Corporation BioMed Research International Volume 2015, Available from:http://dx.doi.org/10.1155/2015/370194.
[3] Available from: https://www.verywell.com/sources-of-big-data-in-health-care-1739184.
[4] Available from: https://www.forbes.com/sites/bernardmarr/2015/04/21/how-big-data-is-changing-healthcare/#66177bb02873.
[5] Harshawardhan S. Bhosale and Devendra P. Gadekar, “A Review Paper on Big Data And Hadoop”, International Journal of scientific and research publications, Volume 4, Issue 10, October 2014.
[6] Jimeng sun and Chandan K. Reddy, “Big Data Analytics For Healthcare”, SIAM international Conference on Data Mining, 2013, Available from:http://dmkd.cs.wayne.edu/TUTORIAL/Healthcare.
[7] Ivo D. Dinov, “Volume and Value of Big Data Healthcare Data”, Published in J Med
[8] Stat Inform, 2016.
[9] Available from: http://webopedia.com/TERM/B/big data analytics.html.
[10] Available from: http://www.builtinla.com/blog/significant-benefits-big-data-analytics-healthcare-industry.
[11] Available from: https://www.dezyre.com/article/5-healthcare-applications-of-hadoop-and-big-data/85.
[12] Feldman, B., Martin, E.M. and Skotnes, T, “Big Data in Healthcare Hype and Hope” Dr. Bonnie 360, 2013, pp. 19. [13] Feldman B, Martin E, Skotnes T.,” Big data in healthcare hype and hope” GHDonline, 2012.
[14] Ahmed Abbasi and Roger H.L. Chiang, “Big data research in information systems:Toward an inclusive research agenda”, 2016.
[15] AtreyiKankanhalli, jungpil Hahn, Sharon Tan and Gordon Gao,”Big data analytics in healthcare: introduction to special section”, InfSyst Front, 2016.
[16] Nada Elgendy and Ahmed Elragal, “Big Data Analytics: A Literature Review Paper”, 2016.
[17] Available from: http://itm-vm.shidler.hawaii.edu/HDFS/ArchDocOverview.html.
[18] Jens Dittrich and Jorge-Arnulfo Quiane-Ruiz, “Efficient Big Data Processing in Hadoop MapReduce”, 2015.
Keywords
big data, health, mapreduce.