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Green Computing and Predictive Analytics for Healthcare



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ISBN 9780367322007
December 1, 2020 Forthcoming by Chapman and Hall/CRC
216 Pages - 39 B/W Illustrations

 
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Book Description

The book Green Computing and Predictive Analytics for Healthcare® excavate the rudimental concepts of Green Computing, Big Data, and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of population is a challenging issue in maintaining, monitoring various exposures of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually getting Internet of Things enabled, sensors, and the work data and involvement of networking is creating smart campuses, corporate houses. The book encompasses chapters belong to the Internet of Things and Big Data technologies.

Features:

  • Biomedical data monitoring under the Internet of Things
  • Environment data sensing and analyzing
  • Big data analytics and clustering
  • Machine learning techniques for sudden cardiac death prediction
  • Robust brain tissue segmentation
  • Energy-efficient and green Internet of Things for healthcare applications
  • Blockchain technology for Internet of healthcare Things
  • Advanced healthcare for Domestic medical tourism system
  • Edge computing for data analytics

 

This Book on "Green Computing and Predictive Analytics for Healthcare" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a Masters's course in biomedical engineering. This book will also present new methods for the medical data evaluation, and diagnosis of different diseases to improve the quality of life in general, and better integration into society.

Table of Contents

Chapter 1: Healthcare Data Monitoring under Internet of Things

Sanjukta Bhattacharya, Chinmay Chakraborty

Chapter 2: A Framework for Emergency Remote Care and Monitoring using Internet of things

Varsha Poddar

Chapter 3: Big data Analytics and k-means Clustering Headed for Patient Health Records for a Healthier Life

R. Sandhiya

Chapter 4: Machine learning based Rapid Prediction of Sudden Cardiac Death (SCD) using precise Statistical Features of Heart rate variability for Single Lead ECG signal

Prakash Banerjee

Chapter 5: Computer Vision for Brain Tissue Segmentation

M.Sucharitha, Chinmay Chakraborty, S.Srinivasa Rao, VSK Reddy

Chapter 6: A Study on Energy Efficient and Green IoT for Healthcare Applications

B. Arthi , M. Aruna, S Ananda Kumar

Chapter 7: Cyber Security in terms of IoT System and Block-Chain Technologies in E-health Care System

Sudipta Paul, Subhankar Mishra

Chapter 8: Domestic Medical Tourism: The Neglected Aspect of Health Care Delivery System in India

Sukanya Roy

Chapter 9: Study on Edge Computing using Machine Learning Approaches in IoT Framework

Pramit Brata Chanda, Surojit Das, Sourav Banerjee, Chinmay Chakraborty

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Editor(s)

Biography

Dr. Sourav Banerjee achieved Ph.D degree in Computer Science and Engineering from the University of Kalyani in 2017. He completed his B.E in Computer Science and Engineering in the year 2004 and M.Tech in Computer Science and Engineering in 2006. He is currently an Assistant Professor at Department of Computer Science and Engineering of Kalyani Government Engineering College at Kalyani, West Bengal, India. He has authored numerous reputed non-paid SCI journal articles, book chapters and International conferences. He has edited book on Green Cloud Computing. His research interests include Big Data, Blockchain, Cloud Computing, Green Cloud Computing, Cloud Robotics, Distributed Computing and Mobile Communications, IoT. He is a member of IEEE, ACM, IAE and MIR Labs as well. He is a SIG member of MIR Lab, USA. He is an Editorial board member of Wireless Communication Technology. He is the reviewer of IEEE Transactions on Cloud Computing, Wireless Personal Communications, Journal of Ambient Intelligence and Humanized Computing, Journal of Computer Science, Journal of Supercomputing, Future Internet, International Journal of Computers and Applications, Personal and Ubiquitous Computing, Innovations in Systems and Software Engineering, and a lot of International conferences. He is connected with various international events, like, Workshop on Security and Privacy in Distributed Ledger Technology (IEEE SP-DLT). A number of worldwide research scholars are attached with him.

Dr. Chinmay Chakraborty is a Senior Assistant Professor in the Dept. of Electronics and Communication Engineering, BIT Mesra. His primary areas of research include Wireless Body Area Network, Internet of Medical Things, Energy-Efficient Wireless Communications and Networking, Point-of-Care Diagnosis. Prior to BIT, he worked at the Faculty of Science and Technology, ICFAI University, Agartala, Tripura, India as a Sr. lecturer. He worked as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He worked as a project coordinator of Telecom Convergence Switch project under the Indo-US joint initiative. He has also worked as a Network Engineer in System Administration at MISPL under Gobal Tele service Ltd., India. He received his Ph.D. in Electronics & Communication from BIT Mesra, and Masters from G.S. Sanyal School of Telecommunication, IIT Kharagpur. He authored book "PSTN-IP Telephony Gateway for Ensuring QoS in Heterogeneous Networks" (2014), "Advanced Classification Techniques for Healthcare Analysis" (2019) and "Smart Medical Data Sensing and IoT Systems Design in Healthcare". He is an Editorial Board Member in the Journal of Wireless Communication Technology, Int. Journal of Telecomm. Engg. etc. and also a member of the International Advisory Board for Malaysia Technical Scientist Congress and the Machine Intelligence Research Labs. He is a guest editor of Future Internet journal special issue. He got Outstanding Researcher Award from TESFA, 2016, Global Peer Review Award from Publons 2018, and also got Young Faculty Award from VIFA 2018. He received young research excellence award, Global Peer Review Award, Young Faculty Award and Outstanding Researcher Award.

Dr. Kousik Dasgupta did his Bachelors of Engineering from Nagpur University and Masters from West Bengal University of Technology and Doctor of Philosophy in Engineering from the University of Kalyani. He has served Industry like ABB, L&T, Llyods Steel for three years in various capacity. Dr. Dasgupta is now Assistant Professor in the Department of C.S.E of Kalyani Government Engineering College. Apart from this, he has remained associated to University of Kalyani, IIIT Kalyani etc. as guest faculty from time to time. Dr. Dasgupta has been involved as the P.I. for several externally funded projects of AICTE and Technical Education and Department of Science and Technology, Govt. of West Bengal. He has co-authored three books and published about twenty-eight papers in various journals and conference proceedings, both international and national. Dr. Dasgupta is a Life Fellow of the OSI, ISTE, ACM and IEEE, Computer Society, USA, Associate Member and Charted Engineer [India] of the Institute of Engineers (India).