Internet of Things and Big Data Technologies for Next Generation Healthcare

ISBN-13: 9783319842288 / Angielski / Miękka / 2018 / 388 str.

Chintan Bhatt; Nilanjan Dey; Amira S. Ashour

Recenzje

"This is an introduction to the concepts of the Internet of Things (IoT) and the application of analytics to the data, including aspects of data storage and model derivation. ... intended audience is professionals contemplating direct involvement in IoT data in healthcare, which would include engineers, data scientists, and some clinical informaticians who are interested in development and application of IoT technology. ... book is useful for someone looking to investigate topics related to the use of IoT in healthcare." (David M. Liebovitz, Doody's Book Reviews, October, 2017)

Spis treści

Internet of Things Driven Connected Healthcare.-Internet of Things in Healthcare

Energy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

Blurb

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics.

 Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.