Author: Spyretta Golemati
Publisher: Springer
ISBN: 9811050929
Category : Technology & Engineering
Languages : en
Pages : 354
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Book Description
This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
Author: Spyretta Golemati
Publisher:
ISBN: 9789811050930
Category : HEALTH & FITNESS
Languages : en
Pages :
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Book Description
This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
Author: Subhi J. Al'Aref
Publisher: Academic Press
ISBN: 0128202734
Category : Science
Languages : en
Pages : 454
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Book Description
Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine.
Author: Atulya K. Nagar
Publisher: Springer Nature
ISBN: 9811663092
Category : Technology & Engineering
Languages : en
Pages : 760
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Book Description
This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1170
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Book Description
Author: Jerry J. Batzel
Publisher: SIAM
ISBN: 0898717450
Category : Mathematics
Languages : en
Pages : 289
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Book Description
Cardiovascular and Respiratory Systems: Modeling, Analysis, and Control uses a principle-based modeling approach and analysis of feedback control regulation to elucidate the physiological relationships. Models are arranged around specific questions or conditions, such as exercise or sleep transition, and are generally based on physiological mechanisms rather than on formal descriptions of input-output behavior. The authors ask open questions relevant to medical and clinical applications and clarify underlying themes of physiological control organization. Current problems, key issues, developing trends, and unresolved questions are highlighted. Researchers and graduate students in mathematical biology and biomedical engineering will find this book useful. It will also appeal to researchers in the physiological and life sciences who are interested in mathematical modeling.
Author: Paola Lecca
Publisher: Springer Nature
ISBN: 3031365666
Category : Science
Languages : en
Pages : 268
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Book Description
This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 526
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Book Description
Author: National Institutes of Health (U.S.). Division of Research Grants
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1328
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Book Description
Author: Roberto C Cury
Publisher: Elsevier Health Sciences
ISBN: 0323682928
Category : Medical
Languages : en
Pages : 169
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Book Description
This issue of MRI Clinics of North America focuses on Cardiac MR Imaging and is edited by Drs. Roberto C. Cury and Clerio Azevedo. Articles will include: The prognostic value of late gadolinium enhancement in non-ischemic heart disease; The role of contrast-enhanced CMR in the assessment of patients with malignant ventricular arrhythmias; Assessment of cardiac sarcoidosis by CMR: comparison with other imaging modalities; The value of T1 mapping techniques in the assessment of non-ischemic cardiomyopathies; Assessment of cardiotoxicity of cancer chemotherapy: The value of cardiac MRI; State-of-the-art quantitative assessment of myocardial ischemia by stress perfusion CMR; T2* mapping techniques: Iron overload assessment and other potential clinical applications; Automated Quantitative Stress Perfusion in a Clinical Routine; Comprehensive assessment of cardiac involvement in muscular dystrophies by cardiac CMR; Assessment of aortic stenosis by CMR: quantification of flow, characterization of myocardial injury, TAVR planning and more; Cardiac MRI at 7.0 Tesla: Reality?; The role of cardiac MRI in the assessment of patients with cardiac amyloidosis; Applications of Cardiac MRI in Electrophysiology: Current Status and Future Needs; and more!
