Study on Big Data Challenges and Opportunities

Authors

  • Meet Hire  U.G. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Mayur Gavande  U.G. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Krupit Chovatiya  U.G. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Aditya Tekale  U.G. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Mr. Pritesh Patel  Assistant Professor of Computer Department, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dr. Sheshang Degadwala  Head of Department Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org//10.32628/CI042

Keywords:

Big Data, Analytics, Health Care, Human Genome, Electronic Medical Record

Abstract

Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. The purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care. The top challenges were issues of data structure, security, data standardization, storage and transfers, and managerial skills such as data governance. The top opportunities revealed were quality improvement, population management and health, early detection of disease, data quality, structure, and accessibility, improved decision making, and cost reduction.

References

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Published

2018-04-10

Issue

Section

Research Articles

How to Cite

[1]
Meet Hire, Mayur Gavande, Krupit Chovatiya, Aditya Tekale, Mr. Pritesh Patel, Dr. Sheshang Degadwala, " Study on Big Data Challenges and Opportunities , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.424-429, March-April-2018. Available at doi : https://doi.org/10.32628/CI042