Using Big Data in Healthcare Context: a Conceptual Study

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    The most significant phenomenon that has caught the attention of the modern computing industry nowadays since the “Internet” is “Big Data”. The technology platforms that have been developed together with it has allowed for the processing of data of various formats and structures without having to worry about the constraints that are linked with traditional systems and database platforms. In this conceptual paper, the researchers sought to discuss an overview of the elements associated with this phenomenon. Thereafter, the benefits of using big data in the healthcare field are highlighted. Based on prior literature, there is a paucity of research on the healthcare context whether theoretically or empirically. Most of the previous studies have focused on Big Data in general.

     


  • Keywords


    Big Data, characteristics, healthcare.

  • References


      K. Krishnan, Data warehousing in the age of big data: Newnes, (2013).

      [2] H. Mohanty, "Big Data: An Introduction," in Big Data, ed: Springer, (2015) 1-28.

      [3] T. Erl, et al., Big Data Fundamentals: Concepts, Drivers & Techniques: Prentice Hall, (2015).

      [4] Sridhar KP, Baskar S, Shakeel PM, Dhulipala VS., “Developing brain abnormality recognize system using multi-objective pattern producing neural network”, Journal of Ambient Intelligence and Humanized Computing, 2018:1-9. https://doi.org/10.1007/s12652-018-1058-y

      [5] J. Hurwitz, et al., Big data for dummies: John Wiley & Sons, (2013).

      [6] A. Gandomi and M. Haider, "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, vol. 35, (2015) 137-144.

      [7] J. Wieczorkowski and P. Polak, "Big data: Three-aspect approach," Online Journal of Applied Knowledge Management, vol. 2, (2014) 182-196.

      [8] Shakeel PM. Neural Networks Based Prediction Of Wind Energy Using Pitch Angle Control. International Journal of Innovations in Scientific and Engineering Research (IJISER). 2014;1(1):33-7.

      [9] P. Lake and R. Drake, "Introducing Big Data," in Information Systems Management in the Big Data Era, ed: Springer, (2014) 1-18.

      [10] H. D. Joshi, et al., "New Big Things in Era of Digital Data:‘Big Data’& Big Data Challenges with its Solution Using Different Tools," (2015).

      [11] W. J. Johnston, "The future of business and industrial marketing and needed research," Journal of Business Market Management, vol. 7, (2014) 296-300.

      [12] A. Katal, et al., "Big data: issues, challenges, tools and good practices," in 2013 Sixth International Conference on Contemporary Computing (IC3), (2013) 404-409.

      [13] H. D. Joshi, et al., "New Big Things in Era of Digital Data:‘Big Data’& Big Data Challenges with its Solution Using Different Tools," (2015).

      [14] T. T. Maposa and M. Sethi, "Association Rule Mining for Structured Data in Big Data Using Parallel RDB-Miner Algorithm," (2015).

      [15] L. Wang, et al., "Bigdatabench: A big data benchmark suite from internet services," in High Performance Computer Architecture (HPCA), 2014 IEEE 20th International Symposium on, (2014) 488-499.

      [16] T. Erl, et al., Big Data Fundamentals: Concepts, Drivers & Techniques: Prentice Hall, (2015).

      [17] N. Khan, et al., "Big data: survey, technologies, opportunities, and challenges," The Scientific World Journal, vol. 2014, (2014).

      [18] B. P. Masram and M. M. Kulkarni, "Execution of Big Application on Cloud using Hadoop," (2014).

      [19] M. Padgavankar and D. S. Gupta, "Big Data Storage and Challenges," IJCSIT) International Journal of Computer Science and Information Technologies, vol. 5, (2014) 2218-2223.

      [20] Baskar, S., & Dhulipala, V. R., “M-CRAFT-Modified Multiplier Algorithm to Reduce Overhead in Fault Tolerance Algorithm in Wireless Sensor Networks”, Journal of Computational and Theoretical Nanoscience,2018, 15(4), 1395-1401.

      [21] S. Mann, "Through the glass, lightly [viewpoint]," Technology and Society Magazine, IEEE, vol. 31, (2012) 10-14.

      [22] S. Kaisler, et al., "Big data: Issues and challenges moving forward," in 2013 46th Hawaii International Conference on System Sciences (HICSS), (2013) 995-1004.

      [23] S. Madden, "From databases to big data," IEEE Internet Computing, (2012) 4-6.

      [24] K. Bakshi, "Considerations for big data: Architecture and approach," in Aerospace Conference, 2012 IEEE, (2012) 1-7.

      [25] P. Russom, "Big data analytics," TDWI Best Practices Report, Fourth Quarter, (2011) 1-35.

      [26] Y. Demchenko, et al., "Addressing big data challenges for scientific data infrastructure," in 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom), (2012) 614-617.

      [27] M. Courtney, "The Larging-up of Big Data," IEEE, Engineering & Technology, (2012).

      [28] Y. Koumpouros, "Big Data in Healthcare," Healthcare Administration: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications, (2014) 23.

      [29] T. Ahammad, et al., "Towards the Application of Big Data: A New Way to make Data Driven Healthcare Decision," International Journal of Computer Applications, vol. 134, (2016).

      [30] S. Frost, "Drowning in big data? reducing information technology complexities and costs for healthcare organizations," ed, (2015).

      [31] R. Hermon and P. A. Williams, "Big data in healthcare: What is it used for?" Australian eHealth Informatics and Security Conference, (2014).

      [32] P. Mohamed Shakeel; Tarek E. El. Tobely; Haytham Al-Feel; Gunasekaran Manogaran; S. Baskar., “Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor”, IEEE Access, 2019, Page(s): 1

      [33] C. Statchuk, et al., "Big data and analytics," in Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research, (2013) 341-343.

      [34] V. Yadav, et al., "Big data analytics for health systems," in Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, (2015) 253-258.

      [35] W. Raghupathi and V. Raghupathi, "Big data analytics in healthcare: promise and potential," Health Information Science and Systems, vol. 2, (2014) 3.

      [36] G. A. Cuckler, et al., "National health expenditure projections, 2012–22: slow growth until coverage expands and economy improves," Health Affairs, vol. 32(10) (2013) 1820-1831.

      [37] S. C. Slaoui and Y. Lamari, "Clustering of large data based on the relational analysis," in Intelligent Systems and Computer Vision (ISCV), 2015, (2015) 1-7.

      [38] Shakeel PM, Baskar S, Dhulipala VS, Mishra S, Jaber MM., “Maintaining security and privacy in health care system using learning based Deep-Q-Networks”, Journal of medical systems, 2018 Oct 1;42(10):186.https://doi.org/10.1007/s10916-018-1045-z

      [39] Selvakumar S, Inbarani H, Shakeel PM. A Hybrid Personalized Tag Recommendations for Social E-Learning System. International Journal of Control Theory and Applications. 2016;9(2):1187-99.

      [40] P. Groves, et al., "Big Data” Revolution in Healthcare, Accelerating Value and Innovation, Centre for US Health System Reform Business Technology Office," Mckinsey & Company www. mckinsey. com, (2013).

      [41] N. Karthick and X. A. Kalrani, "A Survey on Data Aggregation in Big Data and Cloud Computing," International Journal of Computer Trends and Technology vol. 17, (2014) 28-32.

      [42] K. Michael and K. Miller, "Big data: New opportunities and new challenges [guest editors' introduction]," Computer, vol. 46 (2013) 22-24.


 

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Article ID: 28410
 
DOI: 10.14419/ijet.v7i3.20.28410




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