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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.
- 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
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
- No. of pages:
- © Academic Press 2021
- 10th March 2021
- Academic Press
- Paperback ISBN:
- eBook ISBN:
Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research & development. He received his Ph.D. degree from National Institute of Technology, Kurukshetra, India. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil. He has published around 40 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and many more reputed Journals with cumulative impact factor of above 100. He has around 90 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author/editor of numerous books, including Advanced Computational Techniques for Virtual Reality in Healthcare from Springer, Intelligent Data Analysis: From Data Gathering to Data Comprehension from Wiley, and Hybrid Computational Intelligence: Challenges and Applications from Elsevier. His research interests include Distributed Systems, MANET, FANET, VANET, IoT, and Machine Learning. He is one of the founders of Bhavya Publications and Universal Innovator Lab. Universal Innovator is actively involved in research, innovation, conferences, startup funding events and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India and is also a Visiting Professor at the University of Valladolid, Spain.
Professor, Maharaja Agrasen Institute of Technology, Delhi, India; Visiting Professor, University of Valladolid, Spain
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.
Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India
Nilanjan Dey is 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. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 70 books with Elsevier, CRC Press, and SpringerNature, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior member of IEEE.
Assistant Professor, Department of Information Technology, Techno India College of Technology, Rajarhat, Kolkata, India
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