APPROACHES OF BIG DATA IN HEALTHCARE: A CRITICAL REVIEW

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Published: Jul 16, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i0.6150
Keywords:
big data, healthcare, big data analytics, medical image processing, signal processing

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Faizan Ahmad
Manish Madhav Tripathi

Abstract

The term bigdata refers to the largeamountof data that desires new technologies and architectures to seek out valuable knowledge from it by using new and innovative analysis practices. As digitized medical records arecurrentlyutilized by most of the healthcare organization and pharmaceutical firms, they need started grouping and storing more and a lot ofhealthcaredatain order to analyze it and obtain insights to resolveissuesassociated with variability in healthcare quality, cost,preparedness and safety of healthcare systems etc. The method of research into vast amount is to reveal unseen patterns and connections named as big data analytics. This paper provides informationconcerning all the significant developments that have carried outso farwithin the field of bigdata analysis in healthcare sector. This paper also covers key bigdata implementation challenges and bigdata solutions thatattempt to solve the challenges of enormous and fast growing data bulks whereas reducing worth and notice its potential analytical value.

 

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2018: Volume 9 Special Issue No. 2, April 2018
Section
Articles

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