Health Care Systems Engineering, Paola Cappanera; Jingshan Li; Andrea Matta; Evren
Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not."
Описание: In this volume, scientists and practitioners write about new methods and technologies for improving the operation of health care organizations. Statistical analyses play an important role in these methods with the implications of simulation and modeling applied to the future of health care. Papers are based on work presented at the Second International Conference on Health Care Systems Engineering (HCSE2015) in Lyon, France. The conference was a rare opportunity for scientists and practitioners to share work directly with each other. Each resulting paper received a double blind review. Paper topics include: hospital drug logistics, emergency care, simulation in patient care, and models for home care services.
Автор: Mccabe Название: Unit operations of chemical engineering ISBN: 0071247106 ISBN-13(EAN): 9780071247108 Издательство: McGraw-Hill Рейтинг: Цена: 10123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes separate chapters that are devoted to each of the principle unit operations, grouped into 4 sections: fluid mechanics, heat transfer, mass transfer and equilibrium stages, and operations involving particulate solids. This book contains its balanced treatment of theory and engineering practice, with many practical, illustrative examples.
Описание: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
Автор: Wager, Karen A. (Medical University of South Carolina, Department of Health Administration) Lee, Frances Wickham (Medical University of South Carolina Название: Health Care Information Systems: A Practical Appro ach for Health Care Management, Fourth Edition ISBN: 1119337186 ISBN-13(EAN): 9781119337188 Издательство: Wiley Рейтинг: Цена: 13464.00 р. Наличие на складе: Поставка под заказ.
Описание: The bestselling guide to the field, updated with a new, more relevant perspective Health Care Information Systems is the gold-standard textbook for the field, providing in-depth coverage of real-world health information management. Merging general concepts with practical detail, this book provides students with a highly transferable skill set that transitions seamlessly into practice. This new fourth edition has been completely reworked to reflect the health care system's evolving needs, providing a big-picture health system perspective on information systems throughout the continuum of care. Coverage of new and emerging technologies and population health management offers engaging discussion of current shifts in the health care industry, and case studies have been updated and expanded to provide additional illustration of important concepts. Recent years have brought significant changes to the health care industry, and information management is becoming an increasingly critical part of managing health and healthcare; this book provides essential guidance toward all aspects of the field. Learn how information systems are used across the health care continuum Discover the role of IT in managing health, patient engagement, and care management Explore the latest technologies that facilitate the management of sensitive information Delve into increasing trends, such as population health management Health care reform, accountable care, and an increasingly global focus has turned the health care data stream into a deluge. Information systems are becoming increasingly powerful, but they are of little use unless backed by practitioners with a deep understanding of both information management and the health care system. Health Care Information Systems equips future health care managers to serve the needs of any health care organization.
Описание: The International Conference on Health Care Systems Engineering (HCSE) provided a timely opportunity to discuss statistical analysis and operations management issues in health care delivery systems.
Автор: Kim Название: Prognostics and Health Management of Engineering Systems ISBN: 3319447408 ISBN-13(EAN): 9783319447407 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.
Among the many topics discussed in-depth are:
• Prognostics tutorials using least-squares
• Bayesian inference and parameter estimation
• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter
• Data-driven prognostics algorithms including Gaussian process regression and neural network
• Comparison of different prognostics algorithms
The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
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