Cardiovascular Eponymic Signs

Cardiovascular Eponymic Signs

Author: Steven H. Yale

Publisher: Springer Nature

Published: 2021-04-10

Total Pages: 422

ISBN-13: 3030675963

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This book proposes a novel learning approach that complements and augments the prevailing method of case-based learning. Learning these signs requires the application and integration of the fundamental skills of observation, palpation, percussion, and auscultation, and in more advanced cases, the use of maneuvers performed at the patient’s bedside. The book provides a discussion of the utility of the signs and reviews the mechanism and pathophysiology of related cardiovascular diseases. Each chapter discusses eponymic signs for a variety of cardiovascular diseases such as atherosclerosis, heart failure, hypertension, venothromboembolism, ischemic heart disease, pericarditis, and peripheral vascular disease. Finding a particular sign during the physical examination enhances clinical suspicion for a specific cardiovascular disease, directing physicians to obtain more specific studies to confirm a diagnosis. This should lead to the delivery of more efficient care with the potential benefit of lowering health care costs. Cardiovascular Eponymic Signs: Diagnostic Skills Applied During the Physical Examination is an essential resource for physicians and related professionals, residents, fellows, and graduate students in cardiology, primary care, and internal medicine.


Current Catalog

Current Catalog

Author: National Library of Medicine (U.S.)

Publisher:

Published: 1993

Total Pages: 1628

ISBN-13:

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First multi-year cumulation covers six years: 1965-70.


Analytic Combinatorics

Analytic Combinatorics

Author: Philippe Flajolet

Publisher: Cambridge University Press

Published: 2009-01-15

Total Pages: 825

ISBN-13: 1139477161

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Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures such as permutations, sequences, strings, walks, paths, trees, graphs and maps. This account is the definitive treatment of the topic. The authors give full coverage of the underlying mathematics and a thorough treatment of both classical and modern applications of the theory. The text is complemented with exercises, examples, appendices and notes to aid understanding. The book can be used for an advanced undergraduate or a graduate course, or for self-study.