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Big Data Analytics in Healthcare Sector

Big Data Analytics in Healthcare Sector
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Author(s): Sheik Abdullah A. (Thiagarajar College of Engineering, India), Selvakumar S. (G. K. M. College of Engineering and Technology, India), Parkavi R. (Thiagarajar College of Engineering, India), Suganya R. (Thiagarajar College of Engineering, India) and Abirami A. M. (Thiagarajar College of Engineering, India)
Copyright: 2022
Pages: 10
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch047

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Abstract

The importance of big data over analytics made the process of solving various real-world problems simpler. The big data and data science tool box provided a realm of data preparation, data analysis, implementation process, and solutions. Data connections over any data source, data preparation for analysis has been made simple with the availability of tremendous tools in data analytics package. Some of the analytical tools include R programming, python programming, rapid analytics, and weka. The patterns and the granularity over the observed data can be fetched with the visualizations and data observations. This chapter provides an insight regarding the types of analytics in a big data perspective with the realm in applicability towards healthcare data. Also, the processing paradigms and techniques can be clearly observed through the chapter contents.

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