Titlebook: Big Data Analytics in Healthcare; Anand J. Kulkarni,Patrick Siarry,Fazle Baki Book 2020 Springer Nature Switzerland AG 2020 Big Data Analy

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heterodox

Big Data in Electroencephalography Analysisoblems in the big data model. The main objective of this chapter is to mathematically model the data generated by an Electroencephalography (EEG) recording system. It is intended to explore the use of big data in managing a huge amount of data. Application of big data in epileptic EEG analysis is also explored.

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Book 2020nities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms. .

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Big Data Analytics and Its Benefits in Healthcareodel that is most widely used in Hadoop for processing large amount of data quickly. In this paper big data are introduced in detail. Hadoop is used to process data in big data. There are many parts of Hadoop such as Hadoop common: these are the libraries of java and other modules which are included

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A Review of Big Data and Its Applications in Healthcare and Public Sector briefly discuss the use of big data in healthcare and its potential use cases such as preventive healthcare planning and predictive analytics. We will also discuss the potential use of big data in public sector and its applications like urban management and inclusive decision making. We will furthe

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Big Data Analytics in Healthcare Using Spreadsheets the other at large. Systematic monitoring, processing, analysis and reporting of sensitive health data calls for a robust information technological support across its products and processes. Business analytics is an inevitable business practice in current competitive environment wherein the process