Healthcare Data Analytics and Management
- 1st Edition - November 15, 2018
- Editors: Nilanjan Dey, Amira S. Ashour, Simon James Fong, Chintan Bhatt
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 3 6 8 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 6 3 6 - 0
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, technique… Read more
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Request a sales quoteHealthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.
- Covers data analysis, management and security concepts and tools in the healthcare domain
- Highlights electronic medical health records and patient information records
- Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining
- Includes multidisciplinary contributions in relation to healthcare applications and challenges
Professional researchers in engineering and software design; communication systems developers; physicians working directly with BMEs on the development of these systems; researchers working in healthcare systems; academics and industry professionals working in system design, computer science, electronics engineering, wireless communication, body area networking, IoT, big data, data management, monitoring systems design and information technology; graduate and postgraduate students
- No. of pages: 340
- Language: English
- Edition: 1
- Published: November 15, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128153680
- eBook ISBN: 9780128156360
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Nilanjan Dey
Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.
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Amira S. Ashour
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Simon James Fong
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