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Actionable Intelligence in Healthcare, Liebowitz, Jay


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Автор: Liebowitz, Jay
Название:  Actionable Intelligence in Healthcare
ISBN: 9781032476865
Издательство: Taylor&Francis
Классификация:





ISBN-10: 1032476869
Обложка/Формат: Paperback
Страницы: 294
Вес: 0.54 кг.
Дата издания: 21.01.2023
Серия: Data analytics applications
Иллюстрации: 77 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз


Designing intelligent healthcare systems, products, and services using disruptive technologies and health informatics /

Автор: Teena Bagga, Kamal Upreti, Nishant Kumar
Название: Designing intelligent healthcare systems, products, and services using disruptive technologies and health informatics /
ISBN: 1032108002 ISBN-13(EAN): 9781032108001
Издательство: Taylor&Francis
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Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 164113898X ISBN-13(EAN): 9781641138987
Издательство: Mare Nostrum (Eurospan)
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Цена: 13167.00 р.
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Описание: The past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities. This book examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

Advanced Computational Intelligence Paradigms in Healthcare - 1

Автор: Hiroyuki Yoshida; Ashlesha Jain; Ajita Ichalkaranj
Название: Advanced Computational Intelligence Paradigms in Healthcare - 1
ISBN: 3540475230 ISBN-13(EAN): 9783540475231
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; multi-agent systems for the management of community healthcare;

Multiple Perspectives on Artificial Intelligence in Healthcare

Автор: Househ
Название: Multiple Perspectives on Artificial Intelligence in Healthcare
ISBN: 3030673057 ISBN-13(EAN): 9783030673055
Издательство: Springer
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Цена: 11179.00 р.
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Описание: By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes.

Thinking healthcare system

Автор: Monlezun, Dominique J (md, Phd, Phd, Mph Ut Md Anderson Cancer Center, Houston, Tx, Usa)
Название: Thinking healthcare system
ISBN: 0443189064 ISBN-13(EAN): 9780443189067
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Автор: Muhammet Gul, Erkan Celik, Suleyman Mete, Faruk Serin
Название: Computational Intelligence and Soft Computing Applications in Healthcare Management Science
ISBN: 1799825817 ISBN-13(EAN): 9781799825814
Издательство: Mare Nostrum (Eurospan)
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Цена: 39640.00 р.
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Описание: In today's modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop.

Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Advanced Computational Intelligence Paradigms in Healthcare 6

Автор: Sheryl Brahnam; Lakhmi C. Jain
Название: Advanced Computational Intelligence Paradigms in Healthcare 6
ISBN: 3642446248 ISBN-13(EAN): 9783642446245
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Covering a plethora of aspects of this developing field, this book explores the latest applications of virtual reality to psychotherapy, rehabilitation and neurological assessment. It ranges from VR`s use in conditions from PTSD to amblyopia in children.

Hacking healthcare

Автор: Lawry, Tom
Название: Hacking healthcare
ISBN: 1032260157 ISBN-13(EAN): 9781032260150
Издательство: Taylor&Francis
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Цена: 4439.00 р.
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Описание: This book is about empowering clinicians and consumers alike to take control of what is important to them by harnessing the power of the AI and the Intelligent Health Revolution.

Applying Business Intelligence to Clinical and Healthcare Organizations

Автор: Machado Jose, Abelha Antonio
Название: Applying Business Intelligence to Clinical and Healthcare Organizations
ISBN: 1466698829 ISBN-13(EAN): 9781466698826
Издательство: Mare Nostrum (Eurospan)
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Цена: 20691.00 р.
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Описание: Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices.Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

Applied Population Health

Автор: Berkovich, PhD, MA, Barbara , Sitapati, MD, Amy
Название: Applied Population Health
ISBN: 0367404567 ISBN-13(EAN): 9780367404567
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: This book provides a clear framework for design, implementation, and monitoring of innovative population health tools to accelerate measurable improvements in care delivery.

Clinical Surveillance

Автор: Zaleski, John
Название: Clinical Surveillance
ISBN: 0367369303 ISBN-13(EAN): 9780367369309
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: For more than a decade, the focus on information technology has been on capturing and sharing data from the patient within an all-encompassing record, to promote improved longitudinal oversight in the care of the patient. A key element to improved patient care has been the automated capture of data from durable medical devices.

Clinical Surveillance

Автор: Zaleski, John
Название: Clinical Surveillance
ISBN: 0367373866 ISBN-13(EAN): 9780367373863
Издательство: Taylor&Francis
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Цена: 20671.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: For more than a decade, the focus on information technology has been on capturing and sharing data from the patient within an all-encompassing record, to promote improved longitudinal oversight in the care of the patient. A key element to improved patient care has been the automated capture of data from durable medical devices.


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