Applications of Big Data in Healthcare

Applications of Big Data in Healthcare

Theory and Practice

1st Edition - March 10, 2021

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  • Editors: Ashish Khanna, Deepak Gupta, Nilanjan Dey
  • Paperback ISBN: 9780128202036
  • eBook ISBN: 9780128204511

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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.

Key Features

  • 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


Computer/data scientists, biomedical engineers, researchers and software engineers in the areas of intelligent data analysis, deep learning, big data, and intelligent systems. Research scientists and practitioners in medical and biological sciences

Table of Contents

  • 1.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

Product details

  • No. of pages: 310
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: March 10, 2021
  • Imprint: Academic Press
  • Paperback ISBN: 9780128202036
  • eBook ISBN: 9780128204511

About the Editors

Ashish Khanna

Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research and development. He received his PhD from the National Institute of Technology, Kurukshetra, India, and completed a post-doc degree at the National Institute of Telecommunications (Inatel), Brazil. He has published around 40 SCI-indexed papers in 'IEEE Transactions', and in other reputed journals by Springer, Elsevier, and Wiley, with a cumulative impact factor of above 100. He has published around 90 research articles in top SCI/Scopus journals, conferences, and book chapters. He is co-author or editor of numerous books, including 'Advanced Computational Techniques for Virtual Reality in Healthcare' (Springer), 'Intelligent Data Analysis: From Data Gathering to Data Comprehension' (Wiley), and 'Hybrid Computational Intelligence: Challenges and Applications' (Elsevier). His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning. He is one of the founders of Bhavya Publications and the Universal Innovator Lab, which is actively involved in research, innovation, conferences, start-up funding events, and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain.

Affiliations and Expertise

Sr. Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, India

Deepak Gupta

Dr. Deepak Gupta is an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India. He obtained his PhD from Dr. APJ Abdul Kalam Technical University. He is a post doc research fellow in the Internet of Things research lab at Inatel, Brazil. He has been guest editor for 10 special journal issues, including ASoC (Elsevier), NCAA (Springer), Sensors (MPDI) and CAEE (Elsevier). He is Editor-in-Chief of OA Journal - Computers and Associate Editor of Journal of Computational and Theoretical Nanoscience.

Affiliations and Expertise

Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India

Nilanjan Dey

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.

Affiliations and Expertise

Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.

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