Автор: Liebowitz, Jay Название: Actionable Intelligence in Healthcare ISBN: 1032476869 ISBN-13(EAN): 9781032476865 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Berkovich, PhD, MA, Barbara , Sitapati, MD, Amy Название: Applied Population Health ISBN: 0367404567 ISBN-13(EAN): 9780367404567 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a clear framework for design, implementation, and monitoring of innovative population health tools to accelerate measurable improvements in care delivery.
Автор: Zaleski, John Название: Clinical Surveillance ISBN: 0367373866 ISBN-13(EAN): 9780367373863 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 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.
Автор: Zaleski, John Название: Clinical Surveillance ISBN: 0367369303 ISBN-13(EAN): 9780367369309 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 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.
Автор: Berkovich, Phd, Ma, Barbara Sitapati, Md, Amy Название: Applied population health ISBN: 0367196670 ISBN-13(EAN): 9780367196677 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a clear framework for design, implementation, and monitoring of innovative population health tools to accelerate measurable improvements in care delivery.
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.
Автор: Shikha Agarwal Название: Swarm intelligence and machine learning : ISBN: 103214579X ISBN-13(EAN): 9781032145792 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today`s betterment compared to previous development in the technology.
Автор: Reddy Sandeep Название: Artificial Intelligence: Applications in Healthcare Delivery ISBN: 036761717X ISBN-13(EAN): 9780367617172 Издательство: Taylor&Francis Рейтинг: Цена: 5358.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as Deep Learning, Computer Vision, Natural Language Processing and Robotics in the healthcare domain.
Описание: This book reviews the application of artificial intelligence and machine learning in healthcare. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence.
Автор: Kumar, Rajendra Название: Generative Artificial Intelligence in Healthcare ISBN: 1032784849 ISBN-13(EAN): 9781032784847 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Generative AI is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material with the power to redefine healthcare and revolutionize how medical science interacts with technology. This book presents the potential applications and benefits of Generative AI in healthcare and discusses its execution challenges and ethical aspects.Generative Artificial Intelligence in Healthcare: Current Practices and Future Development starts by reviewing the past and then discussing the present of Generative AI-based systems and the potential challenges the future might bring. It then highlights the integration of Generative AI with IoT, and blockchain technologies along with offering case studies. The book explores how to integrate augmented and virtual reality into Generative AI-based healthcare and covers the development of an effective machine algorithm for Generative-based healthcare and the design and implementation of Generative Adversarial Networks (GANs) in healthcare systems. Data security and ergonomic design for healthcare products are also included in the book. This book will provide a platform for the past, present, and future of Generative AI and will help researchers and healthcare practitioners generate more robust solutions.
Описание: In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems.
Автор: Williams Название: Artificial Intelligence and Healthcare ISBN: 3031482611 ISBN-13(EAN): 9783031482618 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers, ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
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