Interpretable Cognitive Internet of Things for Healthcare

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Author :
Publisher : Springer Nature
ISBN 13 : 3031086376
Total Pages : 203 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Interpretable Cognitive Internet of Things for Healthcare by : Utku Kose

Download or read book Interpretable Cognitive Internet of Things for Healthcare written by Utku Kose and published by Springer Nature. This book was released on 2023-06-26 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

Cognitive Internet of Medical Things for Smart Healthcare

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Publisher : Springer Nature
ISBN 13 : 3030558339
Total Pages : 227 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Cognitive Internet of Medical Things for Smart Healthcare by : Aboul Ella Hassanien

Download or read book Cognitive Internet of Medical Things for Smart Healthcare written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-10-19 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

Cognitive Computing for Internet of Medical Things

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Author :
Publisher : CRC Press
ISBN 13 : 1000806006
Total Pages : 231 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Cognitive Computing for Internet of Medical Things by : A Prasanth

Download or read book Cognitive Computing for Internet of Medical Things written by A Prasanth and published by CRC Press. This book was released on 2022-12-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Green AI-Powered Intelligent Systems for Disease Prognosis

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Publisher : IGI Global
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Green AI-Powered Intelligent Systems for Disease Prognosis by : Khanna, Ashish

Download or read book Green AI-Powered Intelligent Systems for Disease Prognosis written by Khanna, Ashish and published by IGI Global. This book was released on 2024-08-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.

The Next Generation Innovation in IoT and Cloud Computing with Applications

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Publisher : CRC Press
ISBN 13 : 1040089224
Total Pages : 186 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis The Next Generation Innovation in IoT and Cloud Computing with Applications by : Abid Hussain

Download or read book The Next Generation Innovation in IoT and Cloud Computing with Applications written by Abid Hussain and published by CRC Press. This book was released on 2024-09-05 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation. Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more. With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation.

Artificial Intelligence and Internet of Things

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Publisher : CRC Press
ISBN 13 : 1000386252
Total Pages : 406 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence and Internet of Things by : Lalit Mohan Goyal

Download or read book Artificial Intelligence and Internet of Things written by Lalit Mohan Goyal and published by CRC Press. This book was released on 2021-08-25 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Internet of Things Based Smart Healthcare

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Publisher : Springer Nature
ISBN 13 : 9811914087
Total Pages : 394 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Internet of Things Based Smart Healthcare by : Suparna Biswas

Download or read book Internet of Things Based Smart Healthcare written by Suparna Biswas and published by Springer Nature. This book was released on 2022-07-18 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

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Publisher : Springer Nature
ISBN 13 : 3030911810
Total Pages : 188 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Artificial Intelligence and IoT for Advanced Health Informatics by : Carmela Comito

Download or read book Integrating Artificial Intelligence and IoT for Advanced Health Informatics written by Carmela Comito and published by Springer Nature. This book was released on 2022-02-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing

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Author :
Publisher : IOS Press
ISBN 13 : 1643684612
Total Pages : 178 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing by : A. Carbonaro

Download or read book Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing written by A. Carbonaro and published by IOS Press. This book was released on 2024-01-26 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The data that must be processed in healthcare includes text, numbers, statistics, and images, and healthcare systems are continuously acquiring novel data from cutting-edge technologies like wearable devices. Semantic intelligence technologies, such as artificial intelligence, machine learning, and the internet of things, together with the hybrid methodologies which combine these approaches, are central to the development of the intelligent, knowledge-based systems now used in healthcare. This book, Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing explores those emerging fields of science and technology in which cognitive computing techniques offer the effective solutions poised to impact healthcare in the foreseeable future, minimizing errors and improving the effectiveness of personalized care models. The book assesses the current landscape, and identifies the roles and challenges of integrating cognitive computing techniques into the widespread adoption of innovative smart healthcare solutions. Each chapter is the result of collaboration by experts from various domains, and provides a detailed overview of the potential offered by new technologies in the field. A wide spectrum of topics and emerging trends are covered, reflecting the multidisciplinary nature of healthcare and cognitive computing and including digital twins, eXplainable AI, AI-based decision-support systems in intensive care, and culinary healthcare, as well as the semantic internet of things (SIoT), natural language processing, and deep learning and graph models. The book presents new ideas which will facilitate collaboration among the different disciplines involved, and will be of interest to all those working in this rapidly evolving field.

Intelligent Internet of Things for Smart Healthcare Systems

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Publisher : CRC Press
ISBN 13 : 1000834972
Total Pages : 269 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Intelligent Internet of Things for Smart Healthcare Systems by : Durgesh Srivastava

Download or read book Intelligent Internet of Things for Smart Healthcare Systems written by Durgesh Srivastava and published by CRC Press. This book was released on 2023-02-23 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Hybrid Artificial Intelligence and IoT in Healthcare

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Author :
Publisher : Springer Nature
ISBN 13 : 9811629722
Total Pages : 328 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Hybrid Artificial Intelligence and IoT in Healthcare by : Akash Kumar Bhoi

Download or read book Hybrid Artificial Intelligence and IoT in Healthcare written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2021-07-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

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Publisher : CRC Press
ISBN 13 : 1000534057
Total Pages : 407 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by : Sujata Dash

Download or read book Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics written by Sujata Dash and published by CRC Press. This book was released on 2022-02-10 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems

Internet of Things for Healthcare Technologies

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Author :
Publisher : Springer Nature
ISBN 13 : 9811541124
Total Pages : 332 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Things for Healthcare Technologies by : Chinmay Chakraborty

Download or read book Internet of Things for Healthcare Technologies written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2020-06-08 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

Smart Healthcare Analytics: State of the Art

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Publisher : Springer Nature
ISBN 13 : 9811653046
Total Pages : 228 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Smart Healthcare Analytics: State of the Art by : Prasant Kumar Pattnaik

Download or read book Smart Healthcare Analytics: State of the Art written by Prasant Kumar Pattnaik and published by Springer Nature. This book was released on 2021-09-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services

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Publisher : IGI Global
ISBN 13 : 1799821021
Total Pages : 248 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Deep Learning and Big IoT on Personalized Healthcare Services by : Wason, Ritika

Download or read book Applications of Deep Learning and Big IoT on Personalized Healthcare Services written by Wason, Ritika and published by IGI Global. This book was released on 2020-02-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

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Author :
Publisher : Springer Nature
ISBN 13 : 3030752208
Total Pages : 270 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care by : Patrick Siarry

Download or read book The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care written by Patrick Siarry and published by Springer Nature. This book was released on 2021-08-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Internet of Things and Personalized Healthcare Systems

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Author :
Publisher : Springer
ISBN 13 : 9811308667
Total Pages : 139 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Internet of Things and Personalized Healthcare Systems by : P. Venkata Krishna

Download or read book Internet of Things and Personalized Healthcare Systems written by P. Venkata Krishna and published by Springer. This book was released on 2018-11-02 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.