Smart Healthcare for Disease Diagnosis and Prevention

Smart Healthcare for Disease Diagnosis and Prevention
Author: Sudip Paul,Dinesh Bhatia
Publsiher: Academic Press
Total Pages: 270
Release: 2020-01-14
ISBN 10: 0128179147
ISBN 13: 9780128179147
Language: EN, FR, DE, ES & NL

Smart Healthcare for Disease Diagnosis and Prevention Book Review:

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering. The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views. Discusses how new advanced technologies are used in real healthcare applications to improve patient safety Explores how medical data such as signals and images can be used in diagnosis Covers how wireless communications devices, such as sensor networks, RFID, wireless body area network, and wearable sensors are used in the medical environment

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
Author: Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publsiher: Academic Press
Total Pages: 290
Release: 2021-10-22
ISBN 10: 0128220627
ISBN 13: 9780128220627
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Big Data Analytics for Smart Healthcare Book Review:

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things
Author: Fadi Al-Turjman,Anand Nayyar
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030809285
ISBN 13: 9783030809287
Language: EN, FR, DE, ES & NL

Machine Learning for Critical Internet of Medical Things Book Review:

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physicians and doctors medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Multimodal Medical Signals Fusion for Smart Healthcare Systems

Multimodal Medical Signals Fusion for Smart Healthcare Systems
Author: David Gerald
Publsiher: Unknown
Total Pages: 78
Release: 2021-08-07
ISBN 10: 1928374650XXX
ISBN 13: 9798451934975
Language: EN, FR, DE, ES & NL

Multimodal Medical Signals Fusion for Smart Healthcare Systems Book Review:

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Improving Diagnosis in Health Care

Improving Diagnosis in Health Care
Author: National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Diagnostic Error in Health Care
Publsiher: National Academies Press
Total Pages: 472
Release: 2016-01-29
ISBN 10: 0309377692
ISBN 13: 9780309377690
Language: EN, FR, DE, ES & NL

Improving Diagnosis in Health Care Book Review:

Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001) finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

Computing Paradigms for Smart Healthcare

Computing Paradigms for Smart Healthcare
Author: B. Vinoth Kumar
Publsiher: Unknown
Total Pages: 337
Release: 2020-11-20
ISBN 10: 9781536186192
ISBN 13: 1536186198
Language: EN, FR, DE, ES & NL

Computing Paradigms for Smart Healthcare Book Review:

Smart healthcare has gradually gained its popularity because of the development of information technologies and computing paradigms such as internet of things (loT), big data, Cloud computing and artificial intelligence. These technologies transform the conventional medical system in to smarter one by making healthcare more convenient, efficient, accurate, and more customized. Smart healthcare will lead to a revolutionized healthcare system that enables the participation of all people for the early prediction and prevention of diseases so that preemptive and pro-active treatment can be delivered. The aim of this edited book is to publish the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering and health informatics. This will help the readers to grasp the extensive point of view and the essence of the recent advances in this field. This book solicits contributions which include theory, case studies and computing paradigms pertaining to the healthcare applications. The prospective audience would be researchers, professionals, practitioners, and students from academia and industry who work in this field. We hope the chapters presented will inspire future research both from theoretical and practical viewpoints to spur further advances in the field.The entire book is the contribution of interdisciplinary expertise available in the esteemed Institution PSG College of Technology, an ISO 9001:2015 certified Government aided Institution, belonging to Department of Information Technology, Computer Science and Engineering, Electronics and Communication Engineering, Biomedical Engineering and Biotechnology. A brief introduction about each chapter is as follows.Chapter 1 focuses on health informatics which provides an overview of the various types of data originating from the medical information,Chapter 2 objective is to provide a 'smart connected environment' which includes storing, processing and exchange information seamlessly using technologies.Chapter 3 deals with an intelligent healthcare system for automatic diagnosis of diseases based on IOT enabled cloud computing framework and deep learningChapter 4 discuss about basic concepts of digital twin technology and implementation of digital twin in various health care domains.Chapter 5 proposes a graph based framework for classification, feature selection method which uses the existing notion, histograms for extracting isotonic features from a data set.Chapter 6 explains the significance of convolution neural network in medical image analysis.Chapter 7 summarizes recent advances in AI tools applied in cancer diagnosis and research for disease prediction and biomarker discovery.Chapter 8 explores DNA microarray data followed by the implementation of machine learning algorithms to obtain the highly predictive genes for classification. Chapter 9 uses various data structures such as hash tables and prefix-based search trees to efficiently query the EHR data present in the Blockchain.Chapter 10 focuses on agreeing upon a common symmetric cryptographic key generated from the ECG signal collected at different locations of a patient using linear prediction and error control coding techniques.We are grateful to the authors and reviewers for their excellent contributions for making this book possible.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr,Kaveh Memarzadeh
Publsiher: Academic Press
Total Pages: 378
Release: 2020-06-21
ISBN 10: 0128184396
ISBN 13: 9780128184394
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare Book Review:

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Smart Healthcare Systems

Smart Healthcare Systems
Author: Adwitiya Sinha,Megha Rathi
Publsiher: CRC Press
Total Pages: 234
Release: 2019-08-08
ISBN 10: 0429670281
ISBN 13: 9780429670282
Language: EN, FR, DE, ES & NL

Smart Healthcare Systems Book Review:

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Nanomaterials in Diagnostic Tools and Devices

Nanomaterials in Diagnostic Tools and Devices
Author: Suvardhan Kanchi,D. Sharma
Publsiher: Elsevier
Total Pages: 618
Release: 2020-06-04
ISBN 10: 0128179244
ISBN 13: 9780128179246
Language: EN, FR, DE, ES & NL

Nanomaterials in Diagnostic Tools and Devices Book Review:

Nanomaterials in Diagnostic Tools and Devices provides a complete overview of the significance of nanomaterials in fabricating selective and performance enhanced nanodevices. It is an interdisciplinary reference that includes contributing subjects from nanomaterials, biosensors, materials science, biomedical instrumentation and medicinal chemistry. This book is authored by experts in the field of nanomaterial synthesis, modeling, and biosensor applications, and provides insight to readers working in various science fields on the latest advancements in smart and miniaturized nanodevices. These devices enable convenient real-time diagnosis of diseases at clinics rather than laboratories, and include implantable devices that cause less irritation and have improved functionality. Research in the field of nanomaterials is growing rapidly, creating a significant impact across different science disciplines and nanotechnology industries. This synthesis and modeling of nanomaterials has led to many technology breakthroughs and applications, especially in medical science. Provides a distinctive platform for the latest trends in the synthesis of smart nanomaterials for nanodevices in disease diagnostics Presents a broad range of advancements and applications of lateral-flow nanostrip for point-of-care applications Examines smart-phone based nanodevices for field-based diagnosis with accurate information Comprises more than 70 figures and illustrations that will help readers visualize and easily understand the role of nanodevices in the field of nanomedicine Serves as an ideal reference for those studying smart nanomaterials, biosensors, and nanodevices for real-time and in-situ clinical diagnosis and drug delivery

Wearable Technology in Medicine and Health Care

Wearable Technology in Medicine and Health Care
Author: Raymond Tong
Publsiher: Academic Press
Total Pages: 340
Release: 2018-08-08
ISBN 10: 0128498811
ISBN 13: 9780128498811
Language: EN, FR, DE, ES & NL

Wearable Technology in Medicine and Health Care Book Review:

Wearable Technology in Medicine and Health Care provides readers with the most current research and information on the clinical and biomedical applications of wearable technology. Wearable devices provide applicability and convenience beyond many other means of technical interface and can include varying applications, such as personal entertainment, social communications and personalized health and fitness. The book covers the rapidly expanding development of wearable systems, thus enabling clinical and medical applications, such as disease management and rehabilitation. Final chapters discuss the challenges inherent to these rapidly evolving technologies. Provides state-of-the-art coverage of the latest advances in wearable technology and devices in healthcare and medicine Presents the main applications and challenges in the biomedical implementation of wearable devices Includes examples of wearable sensor technology used for health monitoring, such as the use of wearables for continuous monitoring of human vital signs, e.g. heart rate, respiratory rate, energy expenditure, blood pressure and blood glucose, etc. Covers examples of wearables for early diagnosis of diseases, prevention of chronic conditions, improved clinical management of neurodegenerative conditions, and prompt response to emergency situations

Computational Intelligence in Healthcare

Computational Intelligence in Healthcare
Author: Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Publsiher: Springer Nature
Total Pages: 412
Release: 2021-05-11
ISBN 10: 3030687236
ISBN 13: 9783030687236
Language: EN, FR, DE, ES & NL

Computational Intelligence in Healthcare Book Review:

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

Nanotechnology Enhanced Food Packaging

Nanotechnology Enhanced Food Packaging
Author: Jyotishkumar Parameswaranpillai,Radhakrishnan E. K.,Aswathy Jayakumar,Sanjay Mavinkere Rangappa,Suchart Siengchin
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2022-04-11
ISBN 10: 3527347739
ISBN 13: 9783527347735
Language: EN, FR, DE, ES & NL

Nanotechnology Enhanced Food Packaging Book Review:

The book gives detailed insights into the application of nanomaterials in food packaging, covering recent innovations as well as future perspectives. The chapters provide a comprehensive review on the types of nanomaterials used in food packaging and their processing and characterization. In addition, the book discusses the use of nanoparticles in the development of active and functional food packaging and the related environmental and toxicological aspects.

Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics
Author: Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 180
Release: 2020-10-12
ISBN 10: 3110676125
ISBN 13: 9783110676129
Language: EN, FR, DE, ES & NL

Predictive Intelligence in Biomedical and Health Informatics Book Review:

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Connected Health in Smart Cities

Connected Health in Smart Cities
Author: Abdulmotaleb El Saddik,M. Shamim Hossain,Burak Kantarci
Publsiher: Springer Nature
Total Pages: 254
Release: 2019-12-03
ISBN 10: 3030278441
ISBN 13: 9783030278441
Language: EN, FR, DE, ES & NL

Connected Health in Smart Cities Book Review:

This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.

Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare
Author: Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Publsiher: Academic Press
Total Pages: 290
Release: 2021-04-26
ISBN 10: 012823217X
ISBN 13: 9780128232170
Language: EN, FR, DE, ES & NL

Machine Learning and the Internet of Medical Things in Healthcare Book Review:

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Smart Health Systems

Smart Health Systems
Author: Sonali Vyas,Deepshikha Bhargava
Publsiher: Springer Nature
Total Pages: 125
Release: 2021-08-24
ISBN 10: 981164201X
ISBN 13: 9789811642012
Language: EN, FR, DE, ES & NL

Smart Health Systems Book Review:

The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.

Networking Health

Networking Health
Author: National Research Council,Computer Science and Telecommunications Board,Committee on Enhancing the Internet for Health Applications: Technical Requirements and Implementation Strategies
Publsiher: National Academies Press
Total Pages: 388
Release: 2000-07-12
ISBN 10: 0309068436
ISBN 13: 9780309068437
Language: EN, FR, DE, ES & NL

Networking Health Book Review:

Consumer health websites have garnered considerable media attention, but only begin to scratch the surface of the more pervasive transformations the Internet could bring to health and health care. Networking Health examines ways in which the Internet may become a routine part of health care delivery and payment, public health, health education, and biomedical research. Building upon a series of site visits, this book: Weighs the role of the Internet versus private networks in uses ranging from the transfer of medical images to providing video-based medical consultations at a distance. Reviews technical challenges in the areas of quality of service, security, reliability, and access, and looks at the potential utility of the next generation of online technologies. Discusses ways health care organizations can use the Internet to support their strategic interests and explores barriers to a broader deployment of the Internet. Recommends steps that private and public sector entities can take to enhance the capabilities of the Internet for health purposes and to prepare health care organizations to adopt new Internet-based applications.

Telemedicine Technologies

Telemedicine Technologies
Author: Hemanth D. Jude,Valentina Emilia Balas
Publsiher: Academic Press
Total Pages: 260
Release: 2019-05-04
ISBN 10: 0128169494
ISBN 13: 9780128169490
Language: EN, FR, DE, ES & NL

Telemedicine Technologies Book Review:

Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system. Illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system Focuses on showcasing prototypes of remote healthcare systems

Innovative Smart Healthcare and Bio Medical Systems

Innovative Smart Healthcare and Bio Medical Systems
Author: Abdel-Badeeh Salem
Publsiher: CRC Press
Total Pages: 258
Release: 2020-12-27
ISBN 10: 1000327108
ISBN 13: 9781000327106
Language: EN, FR, DE, ES & NL

Innovative Smart Healthcare and Bio Medical Systems Book Review:

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems. It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.

Smart Healthcare Monitoring Using IoT with 5G

Smart Healthcare Monitoring Using IoT with 5G
Author: Meenu Gupta,Gopal Chaudhary,Victor Hugo C. de Albuquerque
Publsiher: CRC Press
Total Pages: 272
Release: 2021-12-22
ISBN 10: 1000486427
ISBN 13: 9781000486421
Language: EN, FR, DE, ES & NL

Smart Healthcare Monitoring Using IoT with 5G Book Review:

Focusing on the challenges, directions, and future predictions with the role of 5G in smart healthcare monitoring, this book offers the fundamental concepts and analyses on the methods to apply Internet of Things (IoT) in monitoring devices for diagnosing and transferring data. It also discusses self-managing to help providers improve their patients' healthcare experience. Smart Healthcare Monitoring Using IoT with 5G: Challenges, Directions, and Future Predictions illustrates user-focused wearable devices such as Fitbit health monitors and smartwatches by which consumers can self-manage and self-monitor their own health. The book covers new points of security and privacy concerns, with the expectation of IoT devices gaining more popularity within the next ten years. Case studies depicting applications and best practices as well as future predictions of smart healthcare monitoring by way of a 5G network are also included. Interested readers of this book include anyone working or involved in research in the field of smart healthcare, such as healthcare specialists, computer science engineers, electronics engineers, and pharmaceutical practitioners.