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Utilizing Big Data for Health Care Automation: Obligations, Fitness and Challenges

  • Sherin ZafarEmail author
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 154)

Abstract

The impact of big data in healthcare ranges from medical diagnosis to the lifestyle quantification. Ponemon Institute in 2012 declared that around 30% of electronic data comes from the industry of healthcare so the situation is quite alarming for managing this huge amount of big data being generated. As specified that the extraction of knowledge of big data is fast, cheap and quite effective so it can bring a change in patients life by improving health and services. Health care analytics new doors has been opened by big data as it provides answers for “what happened”, “why happened”, “what will happen” and “how to make happen for description, diagnosis and prediction”. This chapter namely “Big data for health care automation, obligation, fitness and challenges” focuses upon the potential knowledge of 4 V’s of big data namely, Volume, Velocity, Variety and Veracity by a radical improvement through productivity bottlenecks being unlocked. This will bring a radical change in the quality and accessibility of health care automation.

Keywords

Big data Health care automation Diagnosis V’s of big data 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of CSE, SESTJamia HamdardNew DelhiIndia

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