Intelligent Data Security Solutions for e Health Applications

Intelligent Data Security Solutions for e Health Applications
Author: Amit Kumar Singh,Mohamed Elhoseny
Publsiher: Academic Press
Total Pages: 340
Release: 2020-09-02
ISBN 10: 012819538X
ISBN 13: 9780128195383
Language: EN, FR, DE, ES & NL

Intelligent Data Security Solutions for e Health Applications Book Review:

E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however, is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical records. However, the robustness, security and efficient image archiving and retrieval of medical data information against these cyberattacks is a challenging area for researchers in the field of e-health applications. Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications. Investigates new security and privacy requirements related to eHealth technologies and large sets of applications Reviews how the abundance of digital information on system behavior is now being captured, processed, and used to improve and strengthen security and privacy Provides an overview of innovative security techniques which are being developed to ensure the guaranteed authenticity of transmitted, shared or stored data/information

Handbook of Research on Intelligent Data Processing and Information Security Systems

Handbook of Research on Intelligent Data Processing and Information Security Systems
Author: Bilan, Stepan Mykolayovych,Al-Zoubi, Saleem Issa
Publsiher: IGI Global
Total Pages: 434
Release: 2019-11-29
ISBN 10: 1799812928
ISBN 13: 9781799812920
Language: EN, FR, DE, ES & NL

Handbook of Research on Intelligent Data Processing and Information Security Systems Book Review:

Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.

Blockchain Technology Applications and Challenges

Blockchain Technology  Applications and Challenges
Author: Sandeep Kumar Panda,Ajay Kumar Jena,Santosh Kumar Swain,Suresh Chandra Satapathy
Publsiher: Springer Nature
Total Pages: 300
Release: 2021
ISBN 10: 3030693953
ISBN 13: 9783030693954
Language: EN, FR, DE, ES & NL

Blockchain Technology Applications and Challenges Book Review:

This book discusses the various open issues of blockchain technology, such as the efficiency of blockchain in different domains of digital cryptocurrency, smart contracts, smart education system, smart cities, cloud identity and access, safeguard to cybersecurity and health care. For the first time in human history, people across the world can trust each other and transact over a large peer-to-peer networks without any central authority. This proves that, trust can be built not only by centralized institution but also by protocols and cryptographic mechanisms. The potential and collaboration between organizations and individuals within peer networks make it possible to potentially move to a global collaborative network without centralization. Blockchain is a complex social, economic and technological phenomenon. This questions what the established terminologies of the modern world like currency, trust, economics and exchange would mean. To make any sense, one needs to realize how much insightful and potential it is in the context and the way it is technically developed. Due to rapid changes in accessing the documents through online transactions and transferring the currency online, many previously used methods are proving insufficient and not secure to solve the problem which arises in the safe and hassle-free transaction. Nowadays, the world changes rapidly, and a transition flow is also seen in Business Process Management (BPM). The traditional Business Process Management holds good establishment last one to two decades, but, the internal workflow confined in a single organization. They do not manage the workflow process and information across organizations. If they do so, again fall in the same trap as the control transfers to the third party that is centralized server and it leads to tampering the data, and single point of failure. To address these issues, this book highlights a number of unique problems and effective solutions that reflects the state-of-the art in blockchain Technology. This book explores new experiments and yields promising solutions to the current challenges of blockchain technology. This book is intended for the researchers, academicians, faculties, scientists, blockchain specialists, business management and software industry professionals who will find it beneficial for their research work and set new ideas in the field of blockchain. This book caters research work in many fields of blockchain engineering, and it provides an in-depth knowledge of the fields covered.

Spectrum Sharing in Cognitive Radio Networks

Spectrum Sharing in Cognitive Radio Networks
Author: Ghanshyam Singh,Prabhat Thakur
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2021-05-27
ISBN 10: 1119665442
ISBN 13: 9781119665441
Language: EN, FR, DE, ES & NL

Spectrum Sharing in Cognitive Radio Networks Book Review:

SPECTRUM SHARING IN COGNITIVE RADIO NETWORKS Discover the latest advances in spectrum sharing in wireless networks from two internationally recognized experts in the field Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments delivers an in-depth and insightful examination of hybrid spectrum access techniques with advanced frame structures designed for efficient spectrum utilization. The accomplished authors present the energy and spectrum efficient frameworks used in high-demand distributed architectures by relying on the self-scheduled medium access control (SMC-MAC) protocol in cognitive radio networks. The book begins with an exploration of the fundamentals of recent advances in spectrum sharing techniques before moving onto advanced frame structures with spectrum accessing approaches and the role of spectrum prediction and spectrum monitoring to eliminate interference. The authors also cover spectrum mobility, interference, and spectrum management for connected environments in substantial detail. Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments offers readers a recent and rational theoretical mathematical model of spectrum sharing strategies that can be used for practical simulation of future generation wireless communication technologies. It also highlights ongoing trends, revealing fresh research outcomes that will be of interest to active researchers in the area. Readers will also benefit from: An inclusive study of connected environments, 3GPP Releases, and the evolution of wireless communication generations with a discussion of advanced frame structures and access strategies in cognitive radio networks A treatment of cognitive radio networks using spectrum prediction and monitoring techniques An analysis of the effects of imperfect spectrum monitoring on cognitive radio networks An exploration of spectrum mobility in cognitive radio networks using spectrum prediction and monitoring techniques An examination of MIMO-based CR-NOMA communication systems for spectral and interference efficient designs Perfect for senior undergraduate and graduate students in Electrical and Electronics Communication Engineering programs, Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments will also earn a place in the libraries of professional engineers and researchers working in the field, whether in private industry, government, or academia.

Smart Systems for E Health

Smart Systems for E Health
Author: Hanen Idoudi,Thierry Val
Publsiher: Springer Nature
Total Pages: 236
Release: 2019
ISBN 10: 3030149390
ISBN 13: 9783030149390
Language: EN, FR, DE, ES & NL

Smart Systems for E Health Book Review:

The purpose of this book is to review the recent advances in E-health technologies and applications. In particular, the book investigates the recent advancements in physical design of medical devices, signal processing and emergent wireless technologies for E-health. In a second part, novel security and privacy solutions for IoT-based E-health applications are presented. The last part of the book is focused on applications, data mining and data analytics for E-health using artificial intelligence and cloud infrastructure. E-health has been an evolving concept since its inception, due to the numerous technologies that can be adapted to offer new innovative and efficient E-health applications. Recently, with the tremendous advancement of wireless technologies, sensors and wearable devices and software technologies, new opportunities have arisen and transformed the E-health field. Moreover, with the expansion of the Internet of Things, and the huge amount of data that connected E-health devices and applications are generating, it is also mandatory to address new challenges related to the data management, applications management and their security. Through this book, readers will be introduced to all these concepts. This book is intended for all practitioners (industrial and academic) interested in widening their knowledge in wireless communications and embedded technologies applied to E-health, cloud computing, artificial intelligence and big data for E-health applications and security issues in E-health.

Intelligent Interactive Multimedia Systems for e Healthcare Applications

Intelligent Interactive Multimedia Systems for e Healthcare Applications
Author: Amit Kumar Tyagi
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811665427
ISBN 13: 9789811665424
Language: EN, FR, DE, ES & NL

Intelligent Interactive Multimedia Systems for e Healthcare Applications Book Review:

Emerging Trends in Intelligent Computing and Informatics

Emerging Trends in Intelligent Computing and Informatics
Author: Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
Publsiher: Springer Nature
Total Pages: 1188
Release: 2019-11-01
ISBN 10: 3030335828
ISBN 13: 9783030335823
Language: EN, FR, DE, ES & NL

Emerging Trends in Intelligent Computing and Informatics Book Review:

This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering.

Intelligent Data Sensing and Processing for Health and Well being Applications

Intelligent Data Sensing and Processing for Health and Well being Applications
Author: Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco
Publsiher: Academic Press
Total Pages: 313
Release: 2018-07-26
ISBN 10: 0128123206
ISBN 13: 9780128123201
Language: EN, FR, DE, ES & NL

Intelligent Data Sensing and Processing for Health and Well being Applications Book Review:

Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments

Health Security Intelligence

Health Security Intelligence
Author: Michael S. Goodman,James M. Wilson,Filippa Lentzos
Publsiher: Routledge
Total Pages: 154
Release: 2021-12-20
ISBN 10: 100053247X
ISBN 13: 9781000532470
Language: EN, FR, DE, ES & NL

Health Security Intelligence Book Review:

Health Security Intelligence introduces readers to the world of health security, to threats like COVID-19, and to the many other incarnations of global health security threats and their implications for intelligence and national security. Disease outbreaks like COVID-19 have not historically been considered a national security matter. While disease outbreaks among troops have always been a concern, it was the potential that arose in the first half of the twentieth century to systematically design biological weapons and to develop these at an industrial scale, that initially drew the attention of security, defence and intelligence communities to biology and medical science. This book charts the evolution of public health and biosecurity threats from those early days, tracing how perceptions of these threats have expanded from deliberately introduced disease outbreaks to also incorporate natural disease outbreaks, the unintended consequences of research, laboratory accidents, and the convergence of emerging technologies. This spectrum of threats has led to an expansion of the stakeholders, tools and sources involved in intelligence gathering and threat assessments. This edited volume is a landmark in efforts to develop a multidisciplinary, empirically informed, and policy-relevant approach to intelligence-academia engagement in global health security that serves both the intelligence community and scholars from a broad range of disciplines. The chapters in this book were originally published as a special issue of the journal, Intelligence and National Security.

Health Care Delivery and Clinical Science Concepts Methodologies Tools and Applications

Health Care Delivery and Clinical Science  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1596
Release: 2017-12-01
ISBN 10: 1522539271
ISBN 13: 9781522539278
Language: EN, FR, DE, ES & NL

Health Care Delivery and Clinical Science Concepts Methodologies Tools and Applications Book Review:

The development of better processes to provide proper healthcare has enhanced contemporary society. By implementing effective collaborative strategies, this ensures proper quality and instruction for both the patient and medical practitioners. Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare and examines the latest techniques and methods of clinical science. Highlighting a range of pertinent topics such as medication management, health literacy, and patient engagement, this multi-volume book is ideally designed for professionals, practitioners, researchers, academics, and graduate students interested in healthcare delivery and clinical science.

Security and Resilience in Intelligent Data Centric Systems and Communication Networks

Security and Resilience in Intelligent Data Centric Systems and Communication Networks
Author: Massimo Ficco,Francesco Palmieri
Publsiher: Academic Press
Total Pages: 366
Release: 2017-09-29
ISBN 10: 012811374X
ISBN 13: 9780128113745
Language: EN, FR, DE, ES & NL

Security and Resilience in Intelligent Data Centric Systems and Communication Networks Book Review:

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks presents current, state-of-the-art work on novel research in theoretical and practical resilience and security aspects of intelligent data-centric critical systems and networks. The book analyzes concepts and technologies that are successfully used in the implementation of intelligent data-centric critical systems and communication networks, also touching on future developments. In addition, readers will find in-demand information for domain experts and developers who want to understand and realize the aspects (opportunities and challenges) of using emerging technologies for designing and developing more secure and resilient intelligent data-centric critical systems and communication networks. Topics covered include airports, seaports, rail transport systems, plants for the provision of water and energy, and business transactional systems. The book is well suited for researchers and PhD interested in the use of security and resilient computing technologies. Includes tools and techniques to prevent and avoid both accidental and malicious behaviors Explains the state-of-the-art technological solutions for main issues hindering the development of monitoring and reaction solutions Describes new methods and technologies, advanced prototypes, systems, tools and techniques of future direction

Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth Applications
Author: Sanju Mishra Tiwari,Fernando Ortiz Rodriguez,M.A. Jabbar
Publsiher: Academic Press
Total Pages: 380
Release: 2022-07-15
ISBN 10: 9780323917735
ISBN 13: 0323917739
Language: EN, FR, DE, ES & NL

Semantic Models in IoT and eHealth Applications Book Review:

The power of IoT-based semantic models in eHealth is being harnessing by clinical researchers, clinicians, and other medical staff in order to observe the real world and generate diagnoses and treatments. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices which collect sensor data for efficient health diagnosis, monitoring, and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration, and information extraction. Semantic Models in IoT and eHealth Applications explores the key role of semantic web modelling in eHealth technologies, including remote monitoring, mobile health, cloud data, and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems adopting semantic web technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing, and understanding the massive amounts of biomedical data being generated by connected medical devices. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems adopting semantic web technologies Covers applications across range of eHealth technologies, including remote monitoring and mobile health

Internet of Things Technologies for HealthCare

Internet of Things Technologies for HealthCare
Author: Mobyen Uddin Ahmed,Shahina Begum,Wasim Raad
Publsiher: Springer
Total Pages: 186
Release: 2017-01-20
ISBN 10: 331951234X
ISBN 13: 9783319512341
Language: EN, FR, DE, ES & NL

Internet of Things Technologies for HealthCare Book Review:

This book constitutes the proceedings of the Third International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2016, held in Västerås, Sweden, October 18-19, 2016. The conference also included the First Workshop on Emerging eHealth through Internet of Things (EHIoT 2016). IoT as a set of existing and emerging technologies, notions and services provides many solutions to delivery of electronic healthcare, patient care, and medical data management. The 31 revised full papers presented along with 9 short papers were carefully reviewed and selected from 43 submissions in total. The papers cover topics such as healthcare support for the elderly, real-time monitoring systems, security, safety and communication, smart homes and smart caring environments, intelligent data processing and predictive algorithms in e-Health, emerging eHealth IoT applications, signal processing and analysis, and smartphones as a healthy thing.

M Health

M Health
Author: Robert S. H. Istepanian,Bryan Woodward
Publsiher: John Wiley & Sons
Total Pages: 424
Release: 2016-11-14
ISBN 10: 1118496981
ISBN 13: 9781118496985
Language: EN, FR, DE, ES & NL

M Health Book Review:

Addresses recent advances from both the clinical and technological perspectives to provide a comprehensive presentation of m-Health This book introduces the concept of m-Health, first coined by Robert S. H. Istepanian in 2003. The evolution of m-Health since then—how it was transformed from an academic concept to a global healthcare technology phenomenon—is discussed. Afterwards the authors describe in detail the basics of the three enabling scientific technological elements of m-Health (sensors, computing, and communications), and how each of these key ingredients has evolved and matured over the last decade. The book concludes with detailed discussion of the future of m-Health and presents future directions to potentially shape and transform healthcare services in the coming decades. In addition, this book: Discusses the rapid evolution of m-Health in parallel with the maturing process of its enabling technologies, from bio-wearable sensors to the wireless and mobile communication technologies from IOT to 5G systems and beyond Includes clinical examples and current studies, particularly in acute and chronic disease management, to illustrate some of the relevant medical aspects and clinical applications of m-Health Describes current m-Health ecosystems and business models Covers successful applications and deployment examples of m-Health in various global health settings, particularly in developing countries

Advances in Intelligent Networking and Collaborative Systems

Advances in Intelligent Networking and Collaborative Systems
Author: Leonard Barolli,Kin Fun Li,Hiroyoshi Miwa
Publsiher: Springer Nature
Total Pages: 517
Release: 2020-08-20
ISBN 10: 3030577961
ISBN 13: 9783030577964
Language: EN, FR, DE, ES & NL

Advances in Intelligent Networking and Collaborative Systems Book Review:

This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems. With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications as a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.

Healthcare Informatics and Analytics Emerging Issues and Trends

Healthcare Informatics and Analytics  Emerging Issues and Trends
Author: Tavana, Madjid
Publsiher: IGI Global
Total Pages: 325
Release: 2014-07-31
ISBN 10: 1466663170
ISBN 13: 9781466663176
Language: EN, FR, DE, ES & NL

Healthcare Informatics and Analytics Emerging Issues and Trends Book Review:

Healthcare practices have been enhanced through the use of information technologies and analytical methods. A cross between computer science, healthcare, and information science is needed for the optimization of data resources and information systems within the healthcare industry. Healthcare Informatics and Analytics: Emerging Issues and Trends introduces the latest research concerning the innovative implementation of information technology and data analysis in the healthcare field. Highlighting current concerns and recent advances in patient care and healthcare delivery, this book is a comprehensive reference source for academics, researchers, medical students, and healthcare practitioners interested in the application of information science within the health sector.

Artificial Intelligence Applications for Smart Societies

Artificial Intelligence Applications for Smart Societies
Author: Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset
Publsiher: Springer Nature
Total Pages: 251
Release: 2021-04-27
ISBN 10: 3030630684
ISBN 13: 9783030630683
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications for Smart Societies Book Review:

This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.

Intelligent Computing and Innovation on Data Science

Intelligent Computing and Innovation on Data Science
Author: Sheng-Lung Peng,Sun-Yuan Hsieh,Suseendran Gopalakrishnan,Balaganesh Duraisamy
Publsiher: Springer Nature
Total Pages: 590
Release: 2021-09-27
ISBN 10: 9811631530
ISBN 13: 9789811631535
Language: EN, FR, DE, ES & NL

Intelligent Computing and Innovation on Data Science Book Review:

This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.

Internet of Things IoT Technologies for HealthCare

Internet of Things  IoT  Technologies for HealthCare
Author: Mobyen Uddin Ahmed,Shahina Begum,Jean-Baptiste Fasquel
Publsiher: Springer
Total Pages: 121
Release: 2018-02-16
ISBN 10: 3319762133
ISBN 13: 9783319762135
Language: EN, FR, DE, ES & NL

Internet of Things IoT Technologies for HealthCare Book Review:

This book constitutes the proceedings of the Fourth International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017, held in Angers, France, in October 2017. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 17 revised full papers presented were carefully reviewed and selected from 23 submissions. The papers cover topics such as healthcare support for the elderly, real-time monitoring systems, security, safety and communication, smart homes and smart caring environments, intelligent data processing and predictive algorithms in e-Health, emerging e-Health IoT applications, signal processing and analysis , the smartphones as a healthy thing, machine learning and deep learning, and cloud computing.

Machine Learning Big Data and IoT for Medical Informatics

Machine Learning  Big Data  and IoT for Medical Informatics
Author: Pardeep Kumar,Yugal Kumar,Mohamed A. Tawhid
Publsiher: Academic Press
Total Pages: 458
Release: 2021-06-13
ISBN 10: 0128217812
ISBN 13: 9780128217818
Language: EN, FR, DE, ES & NL

Machine Learning Big Data and IoT for Medical Informatics Book Review:

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.