Trustworthy Machine Learning for Healthcare, Chen

Название: Human and machine learning
ISBN: 3319904027 ISBN-13(EAN): 9783319904023
Издательство: Springer
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Цена: 60550.00 T
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Описание: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Автор: Rothman Denis
Название: Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
ISBN: 1800208138 ISBN-13(EAN): 9781800208131
Издательство: Неизвестно
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Цена: 67430.00 T
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Описание: In today`s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI`s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.

Автор: Goebel
Название: Trustworthy Federated Learning
ISBN: 3031289951 ISBN-13(EAN): 9783031289958
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book constitutes the refereed proceedings of the First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, held in Vienna, Austria, during July 23-25, 2022. The 11 full papers presented in this book were carefully reviewed and selected from 12 submissions. They are organized in three topical sections: answer set programming; adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.

Автор: Hossain
Название: Explainable Machine Learning for Multimedia Based Healthcare Applications
ISBN: 3031380355 ISBN-13(EAN): 9783031380358
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.

Автор: El Morr
Название: Machine Learning for Practical Decision Making
ISBN: 3031169891 ISBN-13(EAN): 9783031169892
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

Автор: Santosh Kc, Gaur Loveleen
Название: Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact
ISBN: 9811667675 ISBN-13(EAN): 9789811667671
Издательство: Springer
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Цена: 60550.00 T
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Описание: It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues.

Автор: Indrakumari, R ; Kumar, T Ganesh ; Murugan, D ; P
Название: Deep Learning in Medical Image Analysis: Recent Advances and Future Trends
ISBN: 1032379928 ISBN-13(EAN): 9781032379920
Издательство: Taylor&Francis
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Цена: 100030.00 T
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Автор: Tripathy Hrudaya Kumar, Mishra Sushruta, Mallick Pradeep Kumar
Название: Technical Advancements of Machine Learning in Healthcare
ISBN: 9813347007 ISBN-13(EAN): 9789813347007
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare.

Автор: Jain Vishal, Chatterjee Jyotir Moy
Название: Machine Learning with Health Care Perspective: Machine Learning and Healthcare
ISBN: 3030408523 ISBN-13(EAN): 9783030408527
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics.

Автор: Jena Om Prakash, Bhushan Bharat, Kose Utku
Название: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
ISBN: 1032126876 ISBN-13(EAN): 9781032126876
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developments in healthcare applications. It discusses theory, analytical methods, numerical simulation, scientific techniques, analytical outcomes, and computational structuring.

Автор: Manju
Название: Artificial Intelligence-based Healthcare Systems
ISBN: 3031419243 ISBN-13(EAN): 9783031419249
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.

Название: Machine learning for healthcare technologies
ISBN: 1849199787 ISBN-13(EAN): 9781849199780
Издательство: Неизвестно
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Цена: 177020.00 T
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Описание: This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.