Internet of Things and Big Data Technologies for Next Generation Healthcare

by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour

Overview

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, andsecurity 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.

Product Details

ISBN-13:	9783319842288
Publisher:	Springer International Publishing
Publication date:	07/11/2018
Series:	Studies in Big Data , #23
Edition description:	Softcover reprint of the original 1st ed. 2017
Pages:	388
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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 Prools 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.

Editorial Reviews

Reviewer: David M. Liebovitz, MD (University of Chicago Medicine)
Description: 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.
Purpose: The purpose is to present systems and structures related to IoT to encourage development and application of IoT in healthcare, including use of big data so generated. These are worthy objectives as new approaches to risk analysis and event detection may help improve patient outcomes and, in some scenarios, have already been shown to achieve health outcomes improvements. The book provides information in support through selected examples for further development of IoT in healthcare.
Audience: This 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.
Features: The book covers IoT in healthcare beginning at devices and sensors, to data storage examples, to predictive analytics and modeling in a healthcare context. Further, aspects of privacy and security are addressed, as is potential further translation of IoT in the existing healthcare environment. Some highlights include specific IoT examples in the existing clinical care arena and other project examples addressing specific use cases for data capture, storage, and analysis. Clarity is helped with examples from robotics and then power supply design of small sensors. Shortcomings arise from the absence of an index; readers must navigate solely using the table of contents. Wording and tense structures are also clumsy at times and are not consistently grammatically correct, although the intent is typically clear. Some of the images (nice examples with sensor data related to falls) are blurred. There are no color illustrations.
Assessment: Overall, the book is useful for someone looking to investigate topics related to the use of IoT in healthcare. The chapters may be read more as articles than a typically indexed book, as there is no index. A number of the real-world examples are helpful and provide a picture beginning at data collection and sensor design considerations, security/privacy, storage, modeling, analysis and application in healthcare.

Doody's Review Service

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)

From the Publisher