Applications of Big Data in Healthcare : Theory and Practice /

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...

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Main Authors: Khanna, Ashish, editor 636376, Gupta, Deepak, editor 636375, Dey, Nilanjan, 1984-, editor 611303, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: Amsterdam : Academic Press, 2021
Subjects:
Online Access:https://www.sciencedirect.com/science/book/9780128202036
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author Khanna, Ashish, editor 636376
Gupta, Deepak, editor 636375
Dey, Nilanjan, 1984-, editor 611303
ScienceDirect (Online service) 7722
author_facet Khanna, Ashish, editor 636376
Gupta, Deepak, editor 636375
Dey, Nilanjan, 1984-, editor 611303
ScienceDirect (Online service) 7722
author_sort Khanna, Ashish, editor 636376
collection OCEAN
description 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.
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institution Universiti Teknologi Malaysia - OCEAN
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publisher Amsterdam : Academic Press,
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spelling KOHA-OAI-TEST:6056542023-09-13T06:58:54ZApplications of Big Data in Healthcare : Theory and Practice / Khanna, Ashish, editor 636376 Gupta, Deepak, editor 636375 Dey, Nilanjan, 1984-, editor 611303 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 Amsterdam : Academic Press,©20212021engApplications 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.Includes bibliographical references and index1.Big Data classification: techniques and tools -- 2.Big Data Analytics for healthcare: theory and applications -- 3.Application of tools and techniques of Big data analytics for healthcare system -- 4.Healthcare and medical Big Data analytics -- 5.Big Data analytics in medical imaging -- 6.Big Data analytics and artificial intelligence in mental healthcare -- 7.Big Data based breast cancer prediction using kernel support vector machine with the Gray Wolf Optimization algorithm -- 8.Big Data based medical data classification using oppositional Gray Wolf Optimization with kernel ridge regression -- 9.An analytical hierarchical process evaluation on parameters Apps-based Data Analytics for healthcare services -- 10.Firefly—Binary Cuckoo Search Technique based heart disease prediction in Big Data Analytics -- 11.Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory.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.MedicineBig data.https://www.sciencedirect.com/science/book/9780128202036URN:ISBN:9780128202036Remote access restricted to users with a valid UTM ID via VPN.
spellingShingle Medicine
Big data.
Khanna, Ashish, editor 636376
Gupta, Deepak, editor 636375
Dey, Nilanjan, 1984-, editor 611303
ScienceDirect (Online service) 7722
Applications of Big Data in Healthcare : Theory and Practice /
title Applications of Big Data in Healthcare : Theory and Practice /
title_full Applications of Big Data in Healthcare : Theory and Practice /
title_fullStr Applications of Big Data in Healthcare : Theory and Practice /
title_full_unstemmed Applications of Big Data in Healthcare : Theory and Practice /
title_short Applications of Big Data in Healthcare : Theory and Practice /
title_sort applications of big data in healthcare theory and practice
topic Medicine
Big data.
url https://www.sciencedirect.com/science/book/9780128202036
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