Handbook of Data Science Approaches for Biomedical Engineering - Softcover

Softcover

ISBN 10: 0128183187 ISBN 13: 9780128183182

Publisher: Academic Press, 2019

Synopsis

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding.

Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc.

• Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things
• Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things
• Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

About this title

About the Authors

Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.

Vijender Kumar Solanki, Ph.D., is an Associate Professor in Department of Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 11 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.He has authored or co-authored more than 25 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 4 books in the area of Information Technology. He teaches graduate & post graduate level courses in IT at ITS. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001.He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA,ISSN: 2155-6377 | E-ISSN: 2155-6385 also serving editorial board members with many reputed journals. He has guest edited many volumes, with IGI-Global, USA, InderScience & Many more reputed publishers.

Manju Khari, Ph.D., is Assistant Professor at the Ambedkar Institute of Advanced Communication Technology and Research, under Govt. Of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha University), India. She is also Professor In-charge of the IT Services of the Institute and has more than twelve years' experience in Network Planning & Management. She holds a Ph.D. in Computer Science & Engineering from the National Institute of Technology, Patna and received her Master's degree in Information Security from Ambedkar Institute Technology of Advanced Communication Technology and Research, Delhi, India. Her research interests are in software testing, software quality, software metrics, information security and nature-inspired algorithms. She has published 60 papers in refereed national and International journals and conferences, and has authored 6 book chapters and co-authored two books. She is a life member of various International and national research societies (SDIWC, IAENG, etc.). She also guest Editor of the International Journal of Advanced Intelligence Paradigms, reviewer for the International Journal of Forensic Engineering, and Editorial Board Member of the International Journal of Software Engineering and Knowledge Engineering.

Raghvendra Kumar is working as an Associate Professor in Computer Science and Engineering Department at GIET University, India. He received BTech, MTech, and PhD in Computer Science and Engineering, India, and Postdoc Fellow from the Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He has published a number of research papers in international journals and conferences. His research areas are computer networks, data mining, cloud computing, and secure multiparty computations, theory of computer science, and design of algorithms. He authored and edited 23 computer science books in field of IoT, data mining, and biomedical engineering.

From the Back Cover

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress in alignment with the latest technologies of Big Data and the Internet of Things. The book includes the most current research developments in the field of biomedical engineering applications based on IoT and Big data, including various real-time and offline medical applications that directly or indirectly rely on medical and information technology. The book also includes case studies in the field of medical science, biomedical engineering, computer science, information security, interdisciplinary tools, along with the latest tools and technologies used.

Ninety percent of data currently available in the world has been generated in past couple of years, and the volume of data is rapidly increasing day by day. The reason for this growth is the increase in communication via electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, and other aspects of the Internet of Things. This data may come in a continuous flow, may be from various sources, and likely impacts technical systems in real time, which may lead to a problem of managing and processing data using traditional methods. This wide variety of data flows, sources, and types may also overwhelm your systems. Handbook of Data Science Approaches for Biomedical Engineering showcases the most cutting-edge information management tools and technologies to deal with the large volume of real-time data.

Edition details

• Publisher: Academic Press
• Publication date: 2019
• ISBN 10: 0128183187
• ISBN 13: 9780128183182
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 318
• Editor: Emilia Balas PhD Valentina, Solanki Vijender Kumar, Khari Manju, Kumar Raghvendra