Big Data Management and the Internet of Things for Improved Health Systems

Big Data Management and the Internet of Things for Improved Health Systems

Brojo Kishore Mishra (C. V. Raman College of Engineering, India) and Raghvendra Kumar (LNCT Group of Colleges, India)
Projected Release Date: January, 2018|Copyright: © 2018 |Pages: 420
ISBN13: 9781522552222|ISBN10: 1522552227|EISBN13: 9781522552239|DOI: 10.4018/978-1-5225-5222-2

Description

Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT).

Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Agile Software Engineering
  • Big Data
  • Brain Computer Interface
  • Data Reduction Techniques
  • Medical IoT
  • Mobile Apps
  • Public Communication
  • Risk Factors
  • Social Media

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Brojo Kishore Mishra, PhD, is an associate professor (IT) and the institutional IQAC coordinator at the C. V. Raman College of Engineering (Autonomous), Bhubaneswar, India. Received M.Tech and PhD degrees in computer science from the Berhampur University in 2008 and 2012 respectively. Currently he is guiding 05nos. of PhD research scholar under Biju Pattnaik University of Technology, Odisha. He has been selected as state student coordinator (Odisha) and regional student coordinator (CSI Region – IV) of Computer Society of India in 2015-16 and 2016-17 respectively. Now he has been elected as national nomination committee member (2017-18) for Computer Society of India. Similarly, he has been selected as IEEE day ambassador for Kolkata Section of IEEE Region – 10 for the year 2015 and 2016. He was the jury coordination committee member of All IEEE Young Engineers’ Humanitarian Challenge (AIYEHUM 2015) project competition organized by IEEE Region 10 (Asia pacific). His research interests include data mining and big data analysis, machine learning, soft computing, and evolutionary computation. He has already published more than 40 research papers in internationally reputed journals and referred conferences, seven book chapters, has edited one book, and is acting as a member of the editorial board/associate editor and guest editor of various international journals. He served in the capacity of keynote speaker, plenary speaker, program chair, proceeding chair, publicity chair, special session chairperson and as member of programme committees of many international conferences also. He was associated with a CSI funded research project as a principal investigator. He is also a life member of ISTE, CSI, and member of IEEE, ACM, IAENG, UACEE, and ACCS.
Raghvendra Kumar has been working as Assistant Professor in Department of Computer Science and Engineering at LNCT College, Jabalpur, MP, India, and PhD Faculty of Engineering and Technology at Jodhpur National University, Jodhpur, Rajasthan. He completed his Master of Technology from KIIT University, Bhubaneswar, Odisha, and his Bachelor of Technology from SRM University, Chennai. His research interest includes graph theory, discrete mathematics, robotics, cloud computing and algorithm. He also works as reviewer, editorial and technical board member in many reputed national, international journal and conferences. He publishes research papers in international journal and conferences including IEEE and Springer regularly and supervising post graduate students in their research work.