Internet of Things and Personalized Healthcare Systems

This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.

Autorentext

Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director of Sri Padmavati Mahila University, Tirupati, India. He received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include mobile and wireless systems, cross layer wireless network design, QoS and cloud computing. He has authored 15 books on computer networks and programming languages. He is currently the Editor-in-Chief for the International Journal of Smart Grid and Green Communications, Inderscience Publishers, Switzerland and also Editor of the International Journal of Systemics, Cybernetics and Informatics and the Journal of Advanced Computing Technologies. He is an Associate Editor for International Journal of Communication Systems, Wiley. He is a senior member several professional societies, including IEEE, ACM, CSI, IE(I)etc. Dr. Sasikumar Gurumoorthy received his Ph.D. in Computer Science and Engineering from VIT University (VIT), Vellore, Tamil Nadu, India. He is currently a Professor at the Department of Computer Science and Systems engineering at Sree Vidyanikethan Engineering College, Tirupati, India. He has published more than 80 technical papers in various international journals, conferences, as well as three books and five book chapters. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis. Dr. Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally respected academic and researcher. He received his Ph.D. and M.S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President of the Society for Molding and Simulation International, SCS, Senior Vice President of SCS, Dean of the College of Engineering at Prince Sultan University, Chair and Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University, Chair and Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University. Dr. Obaidat is currently a Full Professor at the King Abdullah II School of Information Technology, the University of Jordan. He is the founding Editor-in-Chief of the Wiley Security and Privacy Journal and is also the Editor-in-Chief of the Wiley International Journal of Communication Systems, and the FTRA Journalof Convergence. He served as the Editor-in-Chief of the KSIP Journal of Information Processing. He is also an Editor of IEEE Wireless Communications, IEEE Systems Journal, Simulation: Transactions of the Society for Modeling and Simulations (SCS) International, Elsevier Computer Communications Journal, Springer Journal of Supercomputing, IET Wireless Sensor Systems, SCS Journal of Defense Modeling and Simulation, International Journal of Communication Networks and Distributed Systems, The Academy Journal of Communications, International Journal of BioSciences and Technology, International Journal of Information Technology and ICST Transactions on Industrial Networks and Intelligent Systems, among others.

Inhalt

1.IoT and e- health.- 2.Trust in Personalized Medicine.- 3.Big Data and Online Social Networks for Preventive Healthcare.- 4.Privacy in Personalised Healthcare Applications.- 5.Online Social Networks And Healthcare.- 6.Body Area Networks and Personalised Healthcare Applications.- Mobile Cloud and Personalised Healthcare Applications.- 7.Protocols, Algorithms, Architectures for IoT based Personalised Healthcare Applications.- 8.Data mining of health data.