Applications of Big Data in Healthcare PDF
By:Ashish Khanna,Deepak Gupta,Nilanjan Dey
Published on 2021-03-10 by Academic Press
Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery Supplies readers with a foundation for further specialized study in clinical analysis and data management Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book
This Book was ranked at 12 by Google Books for keyword computer based medical systems.
Book ID of Applications of Big Data in Healthcare's Books is EoD-DwAAQBAJ, Book which was written byAshish Khanna,Deepak Gupta,Nilanjan Deyhave ETAG "nij2jCfXYW4"
Book which was published by Academic Press since 2021-03-10 have ISBNs, ISBN 13 Code is 9780128204511 and ISBN 10 Code is 0128204516
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Book which have "310 Pages" is Printed at BOOK under CategoryScience
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