Big Data Analytics in Healthcare

Authors(2) :-Saranya K, UdhayaKumar U

The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyse, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics recently applied towards aiding the process of care delivery and disease exploration. In this paper, we discuss some of these significant challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics-based analytics.

Authors and Affiliations

Saranya K
Department of Computer Science, Shanmuga Industries Arts and Science College, Tiruvannamalai, Tamilnadu, India
UdhayaKumar U
Assistant Professor, Department of Computer Science, Shanmuga Industries Arts and Science College, Tiruvannamalai, Tamilnadu, India

Big Data, Big Data Analytics, 3Vís, Image Processing, Signal processing, Genomics.

[1] A. McAfee, E. Brynjolfsson, T. H. Davenport, D. J. Patil, and D. Barton, “Big data: the management revolution,” Harvard Business Review, vol. 90, no. 10, pp. 60–68, 2012. [2] C. Lynch, “Big data: how do your data grow?” Nature, vol. 455,no. 7209, pp. 28–29, 2008. [3] A. Jacobs, “The pathologies of big data,” Communications of the ACM, vol. 52, no. 8, pp. [4] P. Zikopoulos, C. Eaton, D. deRoos, T. Deutsch, and G. Lapis, Understanding Big Data: Analytics for Enterprise Class Hadoopand Streaming Data, McGraw-Hill Osborne Media. [5] J.Manyika,M. Chui, B. Brown et al., Big Data:The Next Frontierfor Innovation, Competition, and Productivity,McKinsey Global Institute, 2011. [6] J. J. Borckardt, M. R. Nash, M. D. Murphy, M. Moore, D. Shaw, and P. O’Neil, “Clinical practice as natural laboratory for psychotherapy research: a guide to case-based time-series analysis,” The American Psychologist, vol. 63, no. 2, pp. 77–95, 2008. [7] L. A. Celi, R.G.Mark, D. J. Stone, and R.A.Montgomery, “‘Big data’ in the intensive care unit: closing the data loop,” AmericanJournal of Respiratory andCriticalCareMedicine, vol. 187, no. 11,pp. 1157–1160, 2013. [8] F. Ritter, T. Boskamp, A. Homeyer et al., “Medical image analysis,” IEEE Pulse, vol. 2, no. 6, pp. 60–70, 2011. [9] J. A. Seibert, “Modalities and data acquisition,” in PracticalImaging Informatics, pp. 49–66, Springer, New York, NY, USA, 2010. [10] B. J. Drew, P. Harris, J. K. Z`egre-Hemsey et al., “Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients,” PLoSONE, vol. 9, no. 10, Article IDe110274, 2014. BioMed Research International [11] K. C. GrahamandM. Cvach, “Monitor alarmfatigue: standardizing use of physiological monitors and decreasing nuisance alarms,”The American Journal of Critical Care, vol. 19, no. 1, pp. 28–34, 2010. [12] M. Cvach, “Monitor alarm fatigue: an integrative review,” Biomedical Instrumentation &Technology, vol. 46, no. 4, pp. 268–277, 2012. [13] J. M. Rothschild, C. P. Landrigan, J. W. Cronin et al., “The Critical Care Safety Study: the incidence and nature of adverse events and serious medical errors in intensive care,” CriticalCare Medicine, vol. 33, no. 8, pp. 1694–1700, 2005. [14] P. Carayon and A. P. G¨urses, “A human factors engineering conceptual framework of nursing workload and patient safety in intensive care units,” Intensive and Critical Care Nursing, vol.21, no. 5, pp. 284–301, 2005. [15] P.Carayon, “Human factors of complex sociotechnical systems,” Applied Ergonomics, vol. 37, no. 4, pp. 525–535, 2006. [16] E. S. Lander, L. M. Linton, B. Birren et al., “Initial sequencing and analysis of the human genome,” Nature, vol. 409, no. 6822, pp. 860–921, 2001. [17] R. Drmanac, A. B. Sparks, M. J. Callow et al., “Human genome sequencing using unchained base reads on self-assembling DNA nanoarrays,” Science, vol. 327, no. 5961, pp. 78–81, 2010. [18] T. Caulfield, J. Evans, A.McGuire et al., “Reflections on the cost of ‘Low-Cost’ whole genome sequencing: framing the health policy debate,” PLoS Biology, vol. 11, no. 11, Article ID e1001699,2013. [19] F. E. Dewey, M. E. Grove, C. Pan et al., “Clinical interpretation and implications of whole-genome sequencing,” JAMA, vol. 311, no. 10, pp. 1035–1045, 2014. [20] L. Hood and S. H. Friend, “Predictive, personalized, preventive, participatory (P4) cancer medicine,” Nature Reviews ClinicalOncology, vol. 8, no. 3, pp. 184–187, 2011. [21] L. Hood and M. Flores, “A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory,” New Biotechnology, vol. 29, no. 6, pp. 613–624, 2012. [22] L. Hood and N. D. Price, “Demystifying disease, democratizing health care,” Science Translational Medicine, vol. 6, no. 225, Article ID 225ed5, 2014. [23] R.Chen, G. I. Mias, J. Li-Pook-Than et al., “Personal omics profiling reveals dynamic molecular and medical phenotypes,” Cell, vol. 148, no. 6, pp. 1293–1307, 2012. [24] G. H. Fernald, E. Capriotti, R. Daneshjou, K. J. Karczewski, and R. B. Altman, “Bioinformatics challenges for personalized medicine,” Bioinformatics, vol. 27, no. 13, Article ID btr295, pp.1741–1748, 2011. [25] P. Khatri, M. Sirota, and A. J. Butte, “Ten years of pathway analysis: current approaches and outstanding challenges,” PLoSComputational Biology, vol. 8, no. 2, Article ID e1002375, 2012. [26] J. Oyelade, J. Soyemi, I. Isewon, and O. Obembe, “Bioinformatics, healthcare informatics and analytics: an imperative for improved healthcare system,” International Journal of AppliedInformation Systems, vol. 8, no. 5, pp. 1–6, 2015. [27] T. G. Kannampallil, A. Franklin, T. Cohen, and T. G. Buchman, “Sub-optimal patterns of information use: a rational analysis of information seeking behavior in critical care,” in CognitiveInformatics in Health and Biomedicine, pp. 389–408, Springer, London, UK, 2014. [28] H. Elshazly, A. T. Azar, A. El-korany, and A. E. Hassanien, “Hybrid system for lymphatic diseases diagnosis,” in Proceedingsof the International Conference on Advances in Computing,Communications and Informatics (ICACCI ’13), pp. 343–347, IEEE, Mysore, India, August 2013. [29] G.Dougherty, Digital Image Processing forMedical Applications, Cambridge University Press, 2009. [30] R. C. Gessner, C. B. Frederick, F. S. Foster, and P. A. Dayton, “Acoustic angiography: a new imaging modality for assessing microvasculature architecture,” International Journal of BiomedicalImaging, vol. 2013,Article ID 936593, 9 pages, 2013. [31] Janarthanan Y, Balajee J.M, and SrinivasaRaghavaS."Content based video retrieval and analysis usingimage processing: A review."International Journal ofPharmacy and Technology 8, no.4 (2016): 5042-5048. [32] Jeyakumar, Balajee, MA SaleemDurai, and DaphneLopez. "Case Studies in Amalgamation of DeepLearning and Big Data." In HCI Challenges andPrivacy Preservation in Big Data Security, pp. 159-174. IGI Global, 2018. [33] Kamalakannan, S. "G., Balajee, J., Srinivasa Raghavan., “Superior content-based video retrievalsystem according to query image”." InternationalJournal of Applied Engineering Research 10, no. 3(2015): 7951-7957. [34] Sethumadahavi R Balajee J “Big Data Deep Learningin Healthcare for Electronic Health Records,”International Scientific Research OrganizationJournal, vol. 2, Issue 2, pp. 31–35, Jul. 2017. [35] Ushapreethi P, BalajeeJeyakumar and BalaKrishnanP, Action Recongnition in Video SurvillanceUsingHipi and Map Reducing Model, International Journalof Mechanical Engineering and Technology 8(11),2017,pp. 368–375.

Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 114-122
Manuscript Number : CSEIT184321
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Saranya K, UdhayaKumar U, "Big Data Analytics in Healthcare", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 3, pp.114-122, January-February.2018
URL : http://ijsrcseit.com/CSEIT184321

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