Biomedical Data Visualization Methods And Applications

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Biomedical Data Visualization Methods And Applications

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Author : Guangchuang Yu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-24

Biomedical Data Visualization Methods And Applications written by Guangchuang Yu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-24 with Science categories.

Predictive Data Modelling For Biomedical Data And Imaging

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Author : Poonam Tanwar
language : en
Publisher: CRC Press
Release Date : 2024-09-13

Predictive Data Modelling For Biomedical Data And Imaging written by Poonam Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Computers categories.

In this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and techniques to unravel insights and enhance patient care. This volume creates a medium for an interchange of knowledge from expertise and concerns in the field of predictive data modeling. In detail, the research work on this will include the effective use of predictive data modeling algorithms to run image analysis tasks for understanding. Predictive Data Modelling for Biomedical Data and Imaging is divided into three sections, namely Section I – Beginning of Predictive Data Modeling for Biomedical Data and Imaging/Healthcare, Section II – Data Design and Analysis for Biomedical Data and Imaging/Healthcare, and Section III – Case Studies of Predictive Analytics for Biomedical Data and Imaging/Healthcare. We hope this book will inspire further research and innovation in the field of predictive data modeling for biomedical data and imaging in healthcare. By exploring diverse case studies and methodologies, this book contributes to the advancement of healthcare practices, ultimately improving patient outcomes and well-being.

Predictive Modeling In Biomedical Data Mining And Analysis

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Author : Sudipta Roy
language : en
Publisher: Academic Press
Release Date : 2022-08-28

Predictive Modeling In Biomedical Data Mining And Analysis written by Sudipta Roy and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-28 with Science categories.

Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information. - Includes predictive modeling algorithms for both Supervised Learning and Unsupervised Learning for medical diagnosis, data summarization and pattern identification - Offers complete coverage of predictive modeling in biomedical applications, including data visualization, information retrieval, data mining, image pre-processing and segmentation, mathematical models and deep neural networks - Provides readers with leading-edge coverage of biomedical data processing, including high dimension data, data reduction, clinical decision-making, deep machine learning in large data sets, multimodal, multi-task, and transfer learning, as well as machine learning with Internet of Biomedical Things applications

Biomedical Information Technology

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Author : David Dagan Feng
language : en
Publisher: Academic Press
Release Date : 2011-07-28

Biomedical Information Technology written by David Dagan Feng and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-28 with Science categories.

The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological computing. In addition Biomedical Information Technology contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications. - The world's most recognized authorities give their "best practices" ready for implementation - Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications - Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

Strategies In Biomedical Data Science

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Author : Jay A. Etchings
language : en
Publisher: John Wiley & Sons
Release Date : 2017-01-03

Strategies In Biomedical Data Science written by Jay A. Etchings 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 2017-01-03 with Medical categories.

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

Critical Reviews In Biomedical Engineering

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Author :
language : en
Publisher:
Release Date : 1988

Critical Reviews In Biomedical Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Bioengineering categories.

Computational Statistics Data Analysis

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Author :
language : en
Publisher:
Release Date : 2002

Computational Statistics Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Electronic journals categories.

Visualization In Biomedical Computing

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Author :
language : en
Publisher:
Release Date : 1996

Visualization In Biomedical Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Biomedical engineering categories.

Visualization And Data Analysis

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Author :
language : en
Publisher:
Release Date : 2002

Visualization And Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computer graphics categories.

Proceedings Of The Ieee Workshop On Mathematical Methods In Biomedical Image Analysis

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Author :
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1996

Proceedings Of The Ieee Workshop On Mathematical Methods In Biomedical Image Analysis written by and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematics categories.

Thirty-two June 1996 biomedical image workshop papers developing clever computational methods based on geometry, algebra, functional analysis, partial differential equations, optimization and graph theory. Within this mathematical framework the contributors address new and old topics in medical imag