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Evolutionary Intelligence For Healthcare Applications

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Evolutionary Intelligence For Healthcare Applications

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Author : T. Ananth Kumar
language : en
Publisher: CRC Press
Release Date : 2022-11-23

Evolutionary Intelligence For Healthcare Applications written by T. Ananth Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Computers categories.

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Evolutionary Intelligence For Healthcare Applications

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Author : T. Ananth Kumar
language : en
Publisher: CRC Press
Release Date : 2022-11-23

Advances In Artificial Intelligence For Healthcare Applications

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Author : Anoop V.S
language : en
Publisher: CRC Press
Release Date : 2025-06-09

Advances In Artificial Intelligence For Healthcare Applications written by Anoop V.S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.

Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain. Features: Discusses advanced concepts such as biomedical large language models, and natural language processing applications Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Reconnoitering The Landscape Of Edge Intelligence In Healthcare

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Author : Suneeta Satpathy
language : en
Publisher: CRC Press
Release Date : 2024-04-23

Reconnoitering The Landscape Of Edge Intelligence In Healthcare written by Suneeta Satpathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Computers categories.

The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.

Computational Intelligence In Industry 4 0 And 5 0 Applications

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Author : JOSEPH BAMIDELE AWOTUNDE
language : en
Publisher: CRC Press
Release Date : 2025-02-06

Computational Intelligence In Industry 4 0 And 5 0 Applications written by JOSEPH BAMIDELE AWOTUNDE and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Computers categories.

Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.

Explainable Artificial Intelligence In The Healthcare Industry

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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05

Explainable Artificial Intelligence In The Healthcare Industry written by Abhishek Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.

Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.

Computational Intelligence

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Author : T. Ananth Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-22

Computational Intelligence written by T. Ananth Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.

This book provides a comprehensive exploration of computational intelligence techniques and their applications, offering valuable insights into advanced information processing, machine learning concepts, and their impact on agile manufacturing systems. Computational Intelligence presents a new concept for advanced information processing. Computational Intelligence (CI) is the principle, architecture, implementation, and growth of machine learning concepts that are physiologically and semantically inspired. Computational Intelligence methods aim to develop an approach to evaluating and creating flexible processing of human information, such as sensing, understanding, learning, recognizing, and thinking. The Artificial Neural Network simulates the human nervous system’s physiological characteristics and has been implemented numerically for non-linear mapping. Fuzzy Logic Systems simulate the human brain’s psychological characteristics and have been used for linguistic translation through membership functions and bioinformatics. The Genetic Algorithm simulates computer evolution and has been applied to solve problems with optimization algorithms for improvements in diagnostic and treatment technologies for various diseases. To expand the agility and learning capacity of manufacturing systems, these methods play essential roles. This book will express the computer vision techniques that make manufacturing systems more flexible, efficient, robust, adaptive, and productive by examining many applications and research into computational intelligence techniques concerning the main problems in design, making plans, and manufacturing goods in agile manufacturing systems.

Artificial Intelligence For The Internet Of Health Things

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Author : K. Shankar
language : en
Publisher: CRC Press
Release Date : 2021-05-09

Artificial Intelligence For The Internet Of Health Things written by K. Shankar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-09 with Computers categories.

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Digital Twins For Sustainable Healthcare In The Metaverse

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Author : R., Rajmohan
language : en
Publisher: IGI Global
Release Date : 2025-02-04

Digital Twins For Sustainable Healthcare In The Metaverse written by R., Rajmohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Medical categories.

Digital transformation has brought about both unprecedented opportunities and complex challenges in the landscape of healthcare. As healthcare systems strive to meet the growing demands of an aging population and rising healthcare costs, they are confronted with issues of inefficiency, fragmented care delivery, and limited access to quality services. Moreover, the global COVID-19 pandemic has further exacerbated these challenges, highlighting the urgent need for innovative solutions to enhance healthcare delivery and sustainability. Digital Twins for Sustainable Healthcare in the Metaverse emerges as a solution to these pressing challenges, offering a forward-thinking approach to revolutionize healthcare delivery. By exploring the integration of digital twin (DT) technology with the consumer health metaverse (MCH), alongside artificial intelligence (AI), machine learning (ML), and other cutting-edge innovations, this book provides a roadmap for transforming healthcare systems and processes. From enhancing data management and visualization techniques to leveraging blockchain technology for data privacy, each chapter offers actionable insights to address the complexities of modern healthcare delivery.

Big Data And Artificial Intelligence For Healthcare Applications

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Author : Ankur Saxena
language : en
Publisher: CRC Press
Release Date : 2021-06-14

Big Data And Artificial Intelligence For Healthcare Applications written by Ankur Saxena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-14 with Computers categories.

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Evolutionary Intelligence For Healthcare Applications

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