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Smart Healthcare for Disease Diagnosis and Prevention

Smart Healthcare for Disease Diagnosis and Prevention
A Book

by Sudip Paul,Dinesh Bhatia

  • Publisher : Academic Press
  • Release : 2020-01-14
  • Pages : 270
  • ISBN : 0128179147
  • Language : En, Es, Fr & De
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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

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things
Applications and Use Cases

by Fadi Al-Turjman,Anand Nayyar

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 3030809285
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
A Book

by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui

  • Publisher : Academic Press
  • Release : 2021-10-22
  • Pages : 290
  • ISBN : 0128220627
  • Language : En, Es, Fr & De
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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

Multimodal Medical Signals Fusion for Smart Healthcare Systems

Multimodal Medical Signals Fusion for Smart Healthcare Systems
Smart Healthcare,smart Healthcare System Using Iot,Internet of Medical Things (IoMT)

by David Gerald

  • Publisher : Unknown Publisher
  • Release : 2021-08-07
  • Pages : 78
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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5G IoT and Edge Computing for Smart Healthcare

5G IoT and Edge Computing for Smart Healthcare
A Book

by Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Samarendra Nath Sur,Paolo Barsocchi

  • Publisher : Academic Press
  • Release : 2022-04-01
  • Pages : 324
  • ISBN : 0323906648
  • Language : En, Es, Fr & De
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5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system

Nanotechnology-Enhanced Food Packaging

Nanotechnology-Enhanced Food Packaging
A Book

by Jyotishkumar Parameswaranpillai,Radhakrishnan E. K.,Aswathy Jayakumar,Sanjay Mavinkere Rangappa,Suchart Siengchin

  • Publisher : John Wiley & Sons
  • Release : 2022-04-11
  • Pages : 384
  • ISBN : 3527347739
  • Language : En, Es, Fr & De
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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
A Book

by Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2020-10-12
  • Pages : 180
  • ISBN : 3110676125
  • Language : En, Es, Fr & De
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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.

Sustainable Smart Cities and Smart Villages Research

Sustainable Smart Cities and Smart Villages Research
A Book

by Miltiadis D. Lytras,Anna Visvizi

  • Publisher : MDPI
  • Release : 2018-10-19
  • Pages : 338
  • ISBN : 303897224X
  • Language : En, Es, Fr & De
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This book is a printed edition of the Special Issue "Sustainable Smart Cities and Smart Villages Research" that was published in Sustainability

Innovative Smart Healthcare and Bio-Medical Systems

Innovative Smart Healthcare and Bio-Medical Systems
AI, Intelligent Computing and Connected Technologies

by Abdel-Badeeh Salem

  • Publisher : CRC Press
  • Release : 2020-12-27
  • Pages : 258
  • ISBN : 1000327108
  • Language : En, Es, Fr & De
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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.

Computational Intelligence in Healthcare

Computational Intelligence in Healthcare
A Book

by Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul

  • Publisher : Springer Nature
  • Release : 2021-05-11
  • Pages : 412
  • ISBN : 3030687236
  • Language : En, Es, Fr & De
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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.

Smart Healthcare Monitoring Using IoT with 5G

Smart Healthcare Monitoring Using IoT with 5G
Challenges, Directions, and Future Predictions

by Meenu Gupta,Gopal Chaudhary,Victor Hugo C. de Albuquerque

  • Publisher : CRC Press
  • Release : 2021-12-22
  • Pages : 272
  • ISBN : 1000486427
  • Language : En, Es, Fr & De
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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.

Smart Healthcare

Smart Healthcare
A Book

by Martin Gitlin

  • Publisher : Cherry Lake
  • Release : 2020-05-21
  • Pages : 32
  • ISBN : 1534172467
  • Language : En, Es, Fr & De
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What makes something "smart?" In the Exploring the Internet of Things series, readers discover how inanimate objects, from watches to home speakers to even t-shirts, help people get things done better, faster, and smarter. In Smart Healthcare, readers will learn the practical application, technological and future advancements, and innovation of IoT in the medical industry. Includes informative sidebars, data-focused text, and 21st Century Skills backmatter content.

Data Intensive Computing Applications for Big Data

Data Intensive Computing Applications for Big Data
A Book

by M. Mittal,V.E. Balas,D.J. Hemanth

  • Publisher : IOS Press
  • Release : 2018-01-31
  • Pages : 620
  • ISBN : 1614998140
  • Language : En, Es, Fr & De
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The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

Emerging Technologies for Healthcare

Emerging Technologies for Healthcare
Internet of Things and Deep Learning Models

by Monika Mangla,Nonita Sharma,Poonam Garg,Vaishali Wadhwa,Thirunavukkarasu K,Shahnawaz Khan

  • Publisher : John Wiley & Sons
  • Release : 2021-07-20
  • Pages : 442
  • ISBN : 1119792320
  • Language : En, Es, Fr & De
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“Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.

Towards Smart World

Towards Smart World
Homes to Cities Using Internet of Things

by Lavanya Sharma

  • Publisher : CRC Press
  • Release : 2020-12-14
  • Pages : 342
  • ISBN : 1000284956
  • Language : En, Es, Fr & De
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Towards Smart World: Homes to Cities Using Internet of Things provides an overview of basic concepts from the rising of machines and communication to IoT for making cities smart, real-time applications domains, related technologies, and their possible solutions for handling relevant challenges. This book highlights the utilization of IoT for making cities smart and its underlying technologies in real-time application areas such as emergency departments, intelligent traffic systems, indoor and outdoor securities, automotive industries, environmental monitoring, business entrepreneurship, facial recognition, and motion-based object detection. Features The book covers the challenging issues related to sensors, detection, and tracking of moving objects, and solutions to handle relevant challenges. It contains the most recent research analysis in the domain of communications, signal processing, and computing sciences for facilitating smart homes, buildings, environmental conditions, and cities. It presents the readers with practical approaches and future direction for using IoT in smart cities and discusses how it deals with human dynamics, the ecosystem, and social objects and their relation. It describes the latest technological advances in IoT and visual surveillance with their implementations. This book is an ideal resource for IT professionals, researchers, undergraduate or postgraduate students, practitioners, and technology developers who are interested in gaining deeper knowledge and implementing IoT for smart cities, real-time applications areas, and technologies, and a possible set of solutions to handle relevant challenges. Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She has been a recipient of several prestigious awards during her academic career. She is an active nationally recognized researcher who has published numerous papers in her field.

Smart Health Systems

Smart Health Systems
Emerging Trends

by Sonali Vyas,Deepshikha Bhargava

  • Publisher : Springer Nature
  • Release : 2021-08-24
  • Pages : 125
  • ISBN : 981164201X
  • Language : En, Es, Fr & De
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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.

Smart Healthcare System Design

Smart Healthcare System Design
Security and Privacy Aspects

by S. K. Hafizul Islam,Debabrata Samanta

  • Publisher : John Wiley & Sons
  • Release : 2021-06-29
  • Pages : 384
  • ISBN : 1119791685
  • Language : En, Es, Fr & De
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The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions; which is why this book will prove invaluable to professionals who want to increase their understanding of recent challenges in the IoT-enabled healthcare domain. The 14 chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, and implementation issues, and also include several case studies. Smart Healthcare System: Security and Privacy Aspects covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus will be on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. More particularly, this volume consists of 14 chapters contributed by authors well-versed in the subject who are devoted to reporting the latest findings on smart healthcare system design.

Smart Healthcare Analytics in IoT Enabled Environment

Smart Healthcare Analytics in IoT Enabled Environment
A Book

by Prasant Kumar Pattnaik,Suneeta Mohanty,Satarupa Mohanty

  • Publisher : Springer Nature
  • Release : 2020-02-17
  • Pages : 246
  • ISBN : 303037551X
  • Language : En, Es, Fr & De
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This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, assisted ambient living, etc. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at minimum expense.

Magnetic Nanoparticle-Based Hybrid Materials

Magnetic Nanoparticle-Based Hybrid Materials
Fundamentals and Applications

by Andrea Ehrmann,Tuan Anh Nguyen,Mazaher Ahmadi,Ali Farmani,Phuong Nguyen-Tri

  • Publisher : Woodhead Publishing
  • Release : 2021-06-23
  • Pages : 760
  • ISBN : 0128236892
  • Language : En, Es, Fr & De
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Magnetic Nanoparticle-Based Hybrid Materials: Fundamentals and Applications introduces the principles, properties, and emerging applications of this important materials system. The hybridization of magnetic nanoparticles with metals, metal oxides and semiconducting nanoparticles may result in superior properties. The book reviews the most relevant hybrid materials, their mechanisms and properties. Then, the book focuses on the rational design, controlled synthesis, advanced characterizations and in-depth understanding of structure-property relationships. The last part addresses the promising applications of hybrid nanomaterials in the real world such as in the environment, energy, medicine fields. Magnetic Nanoparticle-Based Hybrid Materials: Fundamentals and Applications comprehensively reviews both the theoretical and experimental approaches used to rapidly advance nanomaterials that could result in new technologies that impact day-to-day life and society in key areas such as health and the environment. It is suitable for researchers and practitioners who are materials scientists and engineers, chemists or physicists in academia and R&D. Provides in-depth information on the basic principles of magnetic nanoparticles-based hybrid materials such as synthesis, characterization, properties, and magnon interactions Discusses the most relevant hybrid materials systems including integration of metals, metal oxides, polymers, carbon and more Addresses the emerging applications in medicine, the environment, energy, sensing, and computing enabled by magnetic nanoparticles-based hybrid materials

Medical Internet of Things

Medical Internet of Things
Techniques, Practices and Applications

by Anirban Mitra,Jayanta Mondal,Anirban Das

  • Publisher : CRC Press
  • Release : 2021-10-29
  • Pages : 258
  • ISBN : 1000470814
  • Language : En, Es, Fr & De
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In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science, big data technologies, IoT and embedded systems, it is now possible to collect a huge amount of sensitive and personal data, compile it and store it through cloud or edge computing techniques. However, important concerns remain about security and privacy, the preservation of sensitive and personal data, and the efficient transfer, storage and processing of MIoT-based data. Medical Internet of Things: Techniques, Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts, issues, challenges, case studies and applications in MIoT. This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic. Features: A systematic overview of concepts in Medical Internet of Things (MIoT) is included. Recent research and some pointers on future advancements in MIoT are discussed. Examples and case studies are included. It is written in an easy-to-understand style with the help of numerous figures and datasets. This book serves as a reference book for scientific investigators who are interested in working on MIoT, as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology.