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Big Data and Analytics: Application to Healthcare Industry
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Author(s): Misbahul Haque (Aligarh Muslim University, India), Mohd Imran (Aligarh Muslim University, India), Mohd Vasim Ahamad (Aligarh Muslim University, India)and Mohd Shoaib (Aligarh Muslim University, India)
Copyright: 2018
Pages: 12
Source title:
Handbook of Research on Pattern Engineering System Development for Big Data Analytics
Source Author(s)/Editor(s): Vivek Tiwari (International Institute of Information Technology, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India), Basant Tiwari (Hawassa University, Ethiopia)and Shailendra Gupta (AISECT University, India)
DOI: 10.4018/978-1-5225-3870-7.ch004
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Abstract
In today's world, humungous and heterogeneous data are being generated from every action of researchers, health organizations, etc. This fast, voluminous, and heterogeneous generation leads to the evolution of the term big data. Big data can be computationally analyzed to uncover hidden trends and patterns that help in finding solutions to the problems arising in various fields. Analysis of big data for manufacturing operational acquaintance at an unparalleled specificity and scale is called big data analytics. Proper utilization of analytics can assist in making effective decisions, improved care delivery, and achieving cost savings. Recognizing hidden trends and useful patterns can lead us to have a clear understanding of the valuable information that these data holds. This chapter presents a quality overview of big data and analytics with its application in the field of healthcare industries as these industries requires their stream of data to be stored and analyzed efficiently in order to improve their future perspective and customer satisfaction.
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