Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem, Alex Khang, Geeta Rana
Автор: Ratten, Vanessa (La Trobe University, Australia) Название: Practical Artificial Intelligence for Internet of Medical Things ISBN: 1032325275 ISBN-13(EAN): 9781032325279 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.
Автор: Singh, Pushpa Название: Transformation in Healthcare with Emerging Technologies ISBN: 1032063416 ISBN-13(EAN): 9781032063416 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics.
Автор: Edited By Neeraj Mohan, Surbhi Gupta, Chuan-Ming L Название: Society 5.0 and the Future of Emerging Computational Technologies ISBN: 1032026030 ISBN-13(EAN): 9781032026039 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It discusses the technological aspects for the implementation of Society 5.0. The recent advances of emerging technologies such as Artificial Intelligence, Data Science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered.
The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications.
This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid.
Название: The Internet of Things and the Law ISBN: 1138604798 ISBN-13(EAN): 9781138604797 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing an analysis of the legal issues relating to the regulation and governance of the Internet of Things, this book explores how laws drafted for offline technologies can cope with digitalisation and the rapid expansion of internet technologies.
Автор: John Soldatos; Dimosthenis P Kyriazis Название: Trusted Artificial Intelligence in Manufacturing ISBN: 1680838768 ISBN-13(EAN): 9781680838763 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a review of technologies, techniques and systems for trusted, ethical, and secure AI in manufacturing. Topics covered include systems and technologies for industrial data reliability, responsible and transparent AI systems, human centred manufacturing systems, cyber-defence in AI systems, and simulated reality systems.
Автор: Chakraborty Chinmay, Banerjee Amit, Kolekar Maheshkumar H. Название: Internet of Things for Healthcare Technologies ISBN: 9811541116 ISBN-13(EAN): 9789811541117 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields.
Автор: Thi Dieu Linh Nguyen, Lu Zhongyu (joan) Название: Data Science and Medical Informatics in Healthcare Technologies ISBN: 9811630313 ISBN-13(EAN): 9789811630316 Издательство: Springer Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.
Автор: Garg Pradeep Kumar Название: Geospatial Data Science in Healthcare for Society 5.0 ISBN: 9811694753 ISBN-13(EAN): 9789811694752 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Поставка под заказ.
Описание: The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Автор: Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta Название: Advanced Prognostic Predictive Modelling in Healthcare Data Analytics ISBN: 9811605408 ISBN-13(EAN): 9789811605406 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis.
Описание: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
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