Springer Smart Healthcare Analytics: State of the Art: 213 (Intelligent Systems Reference Library, 213)

Product Description This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry. From the Back Cover This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry. About the Author Dr. Prasant Kumar Pattnaik, Ph.D (Computer Science), Fellow IETE, Senior Member IEEE, is a professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer ,IGI Global and Wiley Publication, and he has co-authored the popular Computer Science and Engineering text books, “Fundamental of Mobile Computing”, PHI and “Cloud Computing Solutions: Architecture, Data Storage, Implementation and Security”, John Wiley & Sons Inc. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems and brain computer interface. He is one of the associate editor of Journal of Intelligent and Fuzzy Systems, IOS Press, an associate editor of Recent Patentson Computer Science, Benthams Science, and  a series editor of Advances in Quantum Computing book series, Wiley-Scrivener Publication, USA and Intelligent Systems Book Series ,CRC Press, Taylor Francis Group, USA. Dr. Ashlesha Vaidya, MBBS, FRACP, FAANMS, is Staff Specialist Geriatrician at the Royal Adelaide Hospital. She has a wide range of experience in Geriatric Medicine, having worked in hospital and community settings in the public sector over the last decade. She co-edited four books for Springer and World Scientific few years ago. Dr. Suneeta Mohanty,  Ph.D. (Computer Science), is working as an assistant professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. She has 16 years of experience in teaching various subjects in computer science and engineering to students of undergraduate and postgraduate program. She has published several research papers in peer-reviewed international journals and conferences including IEEE and Spr