Healthcare Data Analytics and Management - Couverture souple

Couverture souple

ISBN 10 : 0128153687 ISBN 13 : 9780128153680

Editeur : Academic Press, 2018

Synopsis

Healthcare 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.

A propos du livre

À propos des auteurs

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.

Amira S. Ashour is an Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt. She is a member in the Research and Development Unit, Faculty of Engineering, Tanta University, Egypt. She received the B.Eng. degree in Electrical Engineering from Faculty of Engineering, Tanta University, Egypt in 1997, M.Sc. in Image Processing in 2001 and Ph.D. in Smart Antenna in 2005 from Faculty of Engineering, Tanta University, Egypt. Ashour has been the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year from 2015. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. Her research interests are Smart antenna, Direction of arrival estimation, Targets tracking, Image processing, Medical imaging, Machine learning, Biomedical Systems, Pattern recognition, Image analysis, Computer vision, Computer-aided detection and diagnosis systems, Optimization, and Neutrosophic theory. She has 15 books and about 150 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US.

Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng, Computer Systems degree and a PhD, Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 373 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals.

Chintan Bhatt is an Assistant Professor of U & P U Patel Department of Computer Engineering at Charotar University of Science And Technology. His PhD is in Computer Science. He has done M.Tech. in Computer Engineering, Dharmsinh Desai University, 2009 - 2011, B.E. in Computer Engineering, Gujarat University (Charotar Institute of Technology), 2005 – 2009. His research interests include Data Mining, Software Engineering, Networking, Big Data, Internet of Things (IoT), Mobile Computing. He received an award on 2015, Paper Publication at International Conference Award and Faculty with Maximum Publication in CSIC Award during CSI Annual Convention, New Delhi. He had organized special sessions on Internet of Things (IoT), CSNT, Gwalior during 4-6 April, 2015 and on Internet of Things (IoT) and big data in IoT , ICTCS, at Udaipur during 14-16 November, 2014. He is an active reviewer in the Wireless Communications, IEEE and Internet of Things Journal, IEEE, as well as Mobile Networks and Applications, Springer. He has several publications in repute journals. He has edited 4 books in IGI Global and Springer and he is currently editing 2books under Elsevier.

Détails de l'édition

• Éditeur: Academic Press
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 0128153687
• ISBN 13: 9780128153680
• Reliure: Broché
• Nombre de pages: 340
• Éditeur: Dey Nilanjan
• Coordonnées du fabricant: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; Etats-Unis
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