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Artificial Intelligence in Smart Healthcare Systems

Machine Learning in Healthcare and
Security

Machine Learning in Healthcare and Security

Advances, Obstacles, and Solutions

Generative AI is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material with the power to redefine healthcare and revolutionize how medical science interacts with technology.

Current Practices and Future Development

Generative Artificial Intelligence in Healthcare

Neural Rehab explores deep learning's significant impact on healthcare through neural rehabilitation. Deep learning algorithms personalize rehabilitation plans by tailoring interventions to meet the unique needs of each individual. The book covers neural rehabilitation like stroke recovery, brain injuries, and neurological disorders.

Deep Learning in Healthcare Revitalization

Neural Rehab

The increasing prominence of Generative AI presents healthcare integration opportunities. From generating valuable patient insights to automating operations, streamlining patient care, and implementing preventive technologies, Generative AI has the potential to usher in a new era of productivity and profitability for healthcare stakeholders.

Unleashing Innovation Through Generative AI

Revolutionizing Healthcare Services

AI innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, the use of remote diagnostic tools, medical robotics applications, drug discovery, technology-driven solutions, and more.

AI innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, the use of remote diagnostic tools, medical robotics applications, drug discovery, technology-driven solutions, and more.

Emerging Trends, Challenges, and Solutions

AIoT Innovations in Digital Health

The book takes readers into the smart system domain and provides theoretical and practical knowledge along with case studies in smart healthcare. It uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality to implement cost-effective, real-time, and user-friendly solutions for healthcare problems.

An IoT and Blockchain Perspective

Immersive Virtual and Augmented Reality in Healthcare

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

Tools and Techniques

Machine Learning and Artificial Intelligence in Healthcare Systems

6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used.

6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used.

Challenges, Impact, and Analysis

6G-Enabled IoT and AI for Smart Healthcare

Written as a guide for assessing the roles that these technqiues play, the book highlights implementation strategies, problem solving solutions, and paves the way for future research endeavors in smart and next generation healthcare systems.

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems.This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors.Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to—and at the same time brings industry professionals up to speed with—the important role soft computing techniques play in smart healthcare systems.

Next Generation Healthcare Systems Using Soft Computing Techniques

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients' health records, systems, and improving the quality of care received. This book provides an overview of IoT technologies related to the healthcare field and covers the main advantages and disadvantages along with case studies.

Applications, Benefits, Challenges, and Case Studies

IoT in Healthcare Systems

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between deep learning, medical image processing, and healthcare with emphasis on saving human life.

The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between deep learning, medical image processing, and healthcare with emphasis on saving human life.

Recent Advances and Future Trends

Deep Learning in Medical Image Analysis

Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

Pioneering Trends and Applications

Smart Technologies in Healthcare Management

How to Succeed as a Scientist Entrepreneur

LAUNCH

Additive manufacturing enables integrated part manufacture of superalloy parts, especially for the aerospace and power industries. The understanding of non-equilibrium physics, solidification processing routes, metallurgy and computational simulation is essential to enable designers, and practitioners to design and develop superalloy parts.

Additive manufacturing enables integrated part manufacture of superalloy parts, especially for the aerospace and power industries. The understanding of non-equilibrium physics, solidification processing routes, metallurgy and computational simulation is essential to enable designers, and practitioners to design and develop superalloy parts.

Additive Manufacturing of Superalloys

Nairobi, Global China, and the Promise of Techno-capital

Silicon Elsewhere

Quantum Computing and Machine Learning for 6G

How the Internet Hijacked Our Health

Bad Influence

Handbook of Optical Ceramics

Routledge Research in Information Technology and E-Commerce Law

This book will provide critical insights into Internet governance through an in-depth examination of human rights law and will be of great interest to students and academics with an interest in IT law, Internet regulation and human rights law.

This book will provide critical insights into Internet governance through an in-depth examination of human rights law and will be of great interest to students and academics with an interest in IT law, Internet regulation and human rights law.

A Human Rights Perspective

Internet Governance

Sowohl fachlich als auch didaktisch auf dem neuesten Stand führt dieses Praktikerbuch in ein ingenieurwissenschaftliche Grundlagenfach ein. Anders als viele andere Werke bezieht es sich nicht nur auf die Technische Mechanik, sondern vor allem auch auf die Werkstoffkunde. Einzigartig ist die gesamtheitliche Betrachtung Werkstoff-Bauteilbeanspruchung. Durch zahlreiche Beispiele, Aufgaben, Musterlösungen, Verständnisfragen, Schaubilder, Randstichworte und andere hilfreiche Strukturelemente kann es als effizientes Lernwerkzeug sowie als leistungsfähiges Nachschlagewerk eingesetzt werden. Die zweite Auflage wurde um die neue FKM-Richtlinie zur Berechnung metallischer Bauteile und um eine Gegenüberstellung alter und neuer Werkstoffbezeichnungen erweitert.

Sowohl fachlich als auch didaktisch auf dem neuesten Stand, führt dieses Praktikerbuch in ein ingenieurwissenschaftliches Grundlagenfach ein. Einzigartig ist die gesamtheitliche Betrachtung Werkstoff-Bauteilbeanspruchung. Durch zahlreiche Beispiele, Aufgaben, Musterlösungen, Verständnisfragen, Schaubilder, Randstichworte und andere hilfreiche Strukturelemente kann es als effizientes Lernwerkzeug sowie als leistungsfähiges Nachschlagewerk eingesetzt werden. Die bei dieser Praxisausgabe mitgelieferten Rechnerprogramme bieten weitaus mehr als die reine Einübung des Lehrstoffs. Für Ingenieure im Maschinenbau, im Bauwesen und in der Verfahrenstechnik.

Festigkeitslehre - Grundlagen

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying an overall summary of current research results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability analysis. Presenting practical methods and tools, it describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems.

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying a systematic introduction to the basic results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability research. Presenting practical methods and tools, the book describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems. It will help readers further extend their research on steady-state availability analysis to the optimization and control over instantaneous availability that is more suitable for engineering practices. The book provides the in-depth research on system instantaneous availability models, solutions, methodology, and frameworks required to investigate system instantaneous availability fluctuations within a certain range. Its chapters are divided into "Basic" and "Applied" components. The Basic chapters introduce the relevant concepts about system availability, the general continuous availability model approximate solution algorithms and problems, the discrete-time systems instantaneous availability model under general probability distribution, and the system instantaneous availability model and stability proof constraint by limited time, respectively. The Applied chapters focus on system instantaneous availability fluctuation analysis and control methods, discrete-time instantaneous availability model comparison and analysis under exponential distribution, system instantaneous availability fluctuations analysis under truncated discrete Weibull distribution, and system instantaneous availability fluctuations optimal design under truncated discrete Weibull distribution. Presenting the material in an accessible manner, the book summarizes current research results and engineering practices. It includes many examples that illustrate the roles of the new modeling methods for instantaneous availability. It also supplies Matlab® code for all the calculations performed in the book.

Fluctuation Mechanism and Control on System Instantaneous Availability

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This advanced textbook goes beyond the current limits of item response modeling to enhance understanding and help readers be more creative in the development and usage of the models. The book first provides a basic survey of the approach and then lays out a large space of important models and their applications. It finishes with information about using different computational approaches to estimating the models, including aspects of testing, as well as several appendices containing helpful codes and examples.

This advanced textbook goes beyond the current limits of item response modeling to enhance understanding and help readers be more creative in the development and usage of the models. The book first provides a basic survey of the approach and then lays out a large space of important models and their applications. It finishes with information about using different computational approaches to estimating the models, including aspects of testing, as well as several appendices containing helpful codes and examples.

An Explanatory Approach

A Generalized Framework for Item Response Models

Machine Learning in Healthcare and Security

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel der Reihe: Artificial Intelligence in Smart Healthcare Systems

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