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Big Data and Artificial Intelligence for Healthcare Applications, Saxena Ankur, Brault Nicolas, Rashid Shazia


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Автор: Saxena Ankur, Brault Nicolas, Rashid Shazia
Название:  Big Data and Artificial Intelligence for Healthcare Applications
Перевод названия: Анкур Саксена, Николас Брол, Шазия Рашид: Большие данные и искусственный интеллект в здравоохранении
ISBN: 9780367554958
Издательство: Taylor&Francis
Классификация:


ISBN-10: 036755495X
Обложка/Формат: Hardcover
Страницы: 286
Вес: 0.58 кг.
Дата издания: 15.06.2021
Серия: Big data for industry 4.0
Язык: English
Иллюстрации: 9 tables, black and white; 60 line drawings, black and white; 8 halftones, black and white; 68 illustrations, black and white
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research.


Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction

Автор: Baker Chris
Название: Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction
ISBN: 1914063198 ISBN-13(EAN): 9781914063190
Издательство: Неизвестно
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Цена: 3999.00 р.
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Описание:

Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..


The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.

Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.


Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.



The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.


Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.


For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.



Here is a preview of what you will learn...

  • Brief history of artificial intelligence
  • The state of art of machine learning
  • Artificial neural networks applied to machine learning
  • How can we build an AI ready culture
  • Our daily lives with AI

And More.....

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Автор: Krishna Kant Singh, Akansha Singh, Korhan Cengiz,
Название: Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
ISBN: 1119640369 ISBN-13(EAN): 9781119640363
Издательство: Wiley
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Цена: 25178.00 р.
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Описание:

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 1641138971 ISBN-13(EAN): 9781641138970
Издательство: Mare Nostrum (Eurospan)
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Цена: 7069.00 р.
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Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Artificial Intelligence In Healthcare

Автор: Bohr, Adam
Название: Artificial Intelligence In Healthcare
ISBN: 0128184388 ISBN-13(EAN): 9780128184387
Издательство: Elsevier Science
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Цена: 16505.00 р.
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Описание:

Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.

This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.

Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments

Автор: Kang Min-wook, Schonfeld Paul
Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
ISBN: 9813272805 ISBN-13(EAN): 9789813272804
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Artificial Intelligence for Games,Third Edition

Автор: Millington
Название: Artificial Intelligence for Games,Third Edition
ISBN: 1138483974 ISBN-13(EAN): 9781138483972
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Applications of Artificial Intelligence in Electrical Engineering

Автор: Saifullah Khalid
Название: Applications of Artificial Intelligence in Electrical Engineering
ISBN: 1799827186 ISBN-13(EAN): 9781799827184
Издательство: Mare Nostrum (Eurospan)
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Цена: 42451.00 р.
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Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.

Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Artificial intelligence in healthcare

Автор: Lawry, Tom
Название: Artificial intelligence in healthcare
ISBN: 0367333716 ISBN-13(EAN): 9780367333713
Издательство: Taylor&Francis
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Цена: 6123.00 р.
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Описание: Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide.

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.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 25978.00 р.
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Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.


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