Data Fusion Techniques And Applications For Smart Healthcare
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Data Fusion Techniques And Applications For Smart Healthcare
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Author : Amit Kumar Singh
language : en
Publisher: Elsevier
Release Date : 2024-03-12
Data Fusion Techniques And Applications For Smart Healthcare written by Amit Kumar Singh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Computers categories.
Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, x-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI. Another typical source of variability is the existence of data from different time points, such as pre and post treatment, for instance. These large and highly diverse amounts of information need to be organized and mined in an appropriate way so that meaningful information can be extracted. New multimodal data fusion techniques are able to combine salient information into one single source to ensure better diagnostic accuracy and assessment. Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. This book can be used as a reference for practicing engineers, scientists, and researchers. It will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications. - Presents broad coverage of applied case studies using data fusion techniques to mine, organize, and interpret medical data - Investigates how data fusion techniques offer a new solution for dealing with massive amounts of medical data coming from diverse sources and multiple formats - Focuses on identifying challenges, solutions, and new directions that will be useful for graduate students, researchers, and practitioners from government, academia, industry, and healthcare
Federated Learning For Neural Disorders In Healthcare 6 0
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Author : Kishor Kumar Reddy C
language : en
Publisher: CRC Press
Release Date : 2025-05-14
Federated Learning For Neural Disorders In Healthcare 6 0 written by Kishor Kumar Reddy C and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Technology & Engineering categories.
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders. This book: Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examples It is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.
Medical Image Processing
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Author : Satya Prakash Yadav
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23
Medical Image Processing written by Satya Prakash Yadav and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Science categories.
The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms. This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth. The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis.
Multimodal Data Fusion For Bioinformatics Artificial Intelligence
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Author : Umesh Kumar Lilhore
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05
Multimodal Data Fusion For Bioinformatics Artificial Intelligence written by Umesh Kumar Lilhore 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.
Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and their applications in ‘omics’ research while addressing the ethical implications and future developments shaping the field today. Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex “omics” data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics. The second half of the book focuses on the ethical and practical implications of using AI in bioinformatics. The tangible benefits of these technologies in healthcare and research are highlighted in chapters devoted to precision medicine, drug development, and biomedical literature. The book addresses a wide range of ethical concerns, from data privacy to model interpretability, providing readers with a well-rounded education on the subject. Finally, the book explores forward-looking developments such as quantum computing and augmented reality in bioinformatics AI. This comprehensive resource offers a bird’s-eye view of the intersection of AI, data fusion, and bioinformatics, catering to readers of all experience levels.
Necrobotics For Healthcare Applications And Management
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Author : Hemachandran Kannan
language : en
Publisher: Elsevier
Release Date : 2025-02-28
Necrobotics For Healthcare Applications And Management written by Hemachandran Kannan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Science categories.
Necrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of robotics, technology, and healthcare, the book presents leading-edge research, practical implementations, and ethical considerations. It bridges a significant gap in healthcare literature, furnishing a contemporary and comprehensive perspective on necrobotics. Highlighting its distinct applications, management nuances, and ethical dimensions in the domain of medical robotics, the book equips readers with an in-depth grasp of this evolving field. It offers insights into technological intricacies, practical utilization, and ethical guidelines. Through real-world case studies and exemplar practices, it vividly demonstrates successful necrobotics deployments while addressing integration challenges. The book facilitates adept navigation of necrobotics complexities, spur innovation, enhance patient outcomes, and contribute to healthcare evolution. Catering to the distinct information requisites and daily obstacles encountered by engineers, healthcare practitioners, and researchers, the book offers extensive insights into necrobotics technologies, real-life case studies, and ethical reflections. It stands as a valuable resource for individuals striving to harness necrobotics' potential for efficacious healthcare solutions. - Provides a comprehensive assessment of the recent necrobotics tools and technologies, including surgical robots, automation of necropsy processes, rehabilitation robots, and telemedicine applications - Presents case studies that illustrate how necrobotics can be used in healthcare settings to improve patient outcomes and safety - Discusses the ethical implications of necrobotics in healthcare from a privacy and data protection perspective, as well as a regulatory framework
Role Of Internet Of Things And Machine Learning In Smart Healthcare
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-12
Role Of Internet Of Things And Machine Learning In Smart Healthcare written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Computers categories.
Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies. - Provides in-depth surveys and tutorials on new computer technology, with this release focusing on IOT and Machine Learning in Smart Healthcare - Presents well-known authors and researchers in the field - Includes volumes that are devoted to single themes or subfields of computer science
Computational Methods In Science And Technology
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Author : Sukhpreet Kaur
language : en
Publisher: CRC Press
Release Date : 2024-10-10
Computational Methods In Science And Technology written by Sukhpreet Kaur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Technology & Engineering categories.
This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024). The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented. This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.
Deep Learning For Smart Healthcare
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Author : K. Murugeswari
language : en
Publisher: CRC Press
Release Date : 2024-05-15
Deep Learning For Smart Healthcare written by K. Murugeswari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Medical categories.
Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
Implementation Of Smart Healthcare Systems Using Ai Iot And Blockchain
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Author : Chinmay Chakraborty
language : en
Publisher: Academic Press
Release Date : 2022-09-27
Implementation Of Smart Healthcare Systems Using Ai Iot And Blockchain written by Chinmay Chakraborty and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with Technology & Engineering categories.
Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. - Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment - Includes AI for predictive and preventive healthcare - Describes blockchain for managing healthcare data to provide transparency, security and distributed storage - Offers effective remote diagnostics and telemedicine approaches - Highlights the importance of gold standard medical datasets for improved modeling and analysis
Pattern Recognition Icpr 2024 International Workshops And Challenges
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Author : Shivakumara Palaiahnakote
language : en
Publisher: Springer Nature
Release Date : 2025-05-09
Pattern Recognition Icpr 2024 International Workshops And Challenges written by Shivakumara Palaiahnakote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
This 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 International Workshops and Challenges held under the umbrella of the 27th International Conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1–5, 2024. The 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. The 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.