Abstract

As the Volume of the data produced is increasing day by day in our society, the exploration of big data in healthcare is increasing at an unprecedented rate. Now days, Big data is very popular buzzword concept in the various areas. This paper provide an effort is made to established that even the healthcare industries are stepping into big data pool to take all advantages from its various advanced tools and technologies. This paper provides the review of various research disciplines made in health care realm using big data approaches and methodologies. Big data methodologies can be used for the healthcare data analytics (which consist 4 V’s) which provide the better decision to accelerate the business profit and customer affection, acquire a better understanding of market behaviours and trends and to provide E-Health services using Digital imaging and communication in Medicine (DICOM).Big data Techniques like Map Reduce, Machine learning can be applied to develop system for early diagnosis of disease, i.e. analysis of the chronic disease like- heart disease, diabetes and stroke. The analysis on the data is performed using big data analytics framework Hadoop. Hadoop framework is used to process large data sets Further the paper present the various Big data tools , challenges and opportunities and various hurdles followed by the conclusion.

Highlights

  • To understand what big data is, it is the advanced technology to store and analyse the huge amount of the data in the form of the terabytes, petabytes, and Exabyte [1] which are not used in the old or manual methods

  • In the case of the Big data may be in the huge volume which is not suitable to process on a single machine so we need to improve the traditional algorithm or to develop the new methods or algorithms which can accept these challenges of managing the large amount of the data in the different systems [6]

  • Applications of big data analytics in health care sector take advantage to extract useful knowledge for making better informed decisions in order to provide the better care to the active patient at the minimum possible cost

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Summary

Introduction

To understand what big data is, it is the advanced technology to store and analyse the huge amount of the data in the form of the terabytes, petabytes, and Exabyte [1] which are not used in the old or manual methods. In the case of the Big data may be in the huge volume (in the form of the petabytes, Exabyte) which is not suitable to process on a single machine so we need to improve the traditional algorithm or to develop the new methods or algorithms which can accept these challenges of managing the large amount of the data in the different systems [6]. Applications of big data analytics in health care sector take advantage to extract useful knowledge for making better informed decisions in order to provide the better care to the active patient at the minimum possible cost. [Bajpai et al, Vol. (Iss.: SE): February, 2018] [Communication, Integrated Networks & Signal Processing-CINSP 2018]

Overview of the Health System
Health Care Providers
Organization
Health Insurer
Pharmacy and the Diagnosis Centre
Review of the Related Work
Hadoop
Map Reduce
Health Care Big Data Challenges
Findings
Conclusion
Full Text
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