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IoT, Machine Learning and Data Analytics for Smart Healthcare, Azrour, Mourade ; Mabrouki, Jamal ; Guezzaz, Azidi


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Автор: Azrour, Mourade ; Mabrouki, Jamal ; Guezzaz, Azidi
Название:  IoT, Machine Learning and Data Analytics for Smart Healthcare
ISBN: 9781032551074
Издательство: Taylor&Francis
Классификация:












ISBN-10: 1032551070
Обложка/Формат: Hardcover
Страницы: 94
Вес: 0.36 кг.
Дата издания: 03/13/2024
Иллюстрации: 6 tables, black and white; 14 line drawings, color; 14 illustrations, color
Размер: 254 x 178
Основная тема: Computers | Computer Science ; Computers | Internet of Things (IoT) ; Technology & Engineering | Sensors ; Computers | Data Science | Data Analytics ; Computers | Data Science | Neural Networks ; Technology & Engineering | Robotics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз


Statistics and machine learning methods for ehr data

Название: Statistics and machine learning methods for ehr data
ISBN: 0367442396 ISBN-13(EAN): 9780367442392
Издательство: Taylor&Francis
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Цена: 21437.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

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: 21437.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

Автор: Kumar Abhishek, Dubey Ashutosh Kumar, Anavatti Sreenatha G.
Название: Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
ISBN: 0367676338 ISBN-13(EAN): 9780367676339
Издательство: Taylor&Francis
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Цена: 23734.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity.

Statistics and machine learning methods for ehr data

Название: Statistics and machine learning methods for ehr data
ISBN: 0367638398 ISBN-13(EAN): 9780367638399
Издательство: Taylor&Francis
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Цена: 6889.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.

Translational Application of Artificial Intelligence in Healthcare: - A Textbook

Автор: Reddy, Sandeep
Название: Translational Application of Artificial Intelligence in Healthcare: - A Textbook
ISBN: 1032200901 ISBN-13(EAN): 9781032200903
Издательство: Taylor&Francis
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Цена: 14545.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

It`s All Analytics!

Автор: Burk, Scott , Miner, Gary
Название: It`s All Analytics!
ISBN: 0367359685 ISBN-13(EAN): 9780367359683
Издательство: Taylor&Francis
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Цена: 9492.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.

Smart Healthcare Analytics in IoT Enabled Environment

Автор: Prasant Kumar Pattnaik
Название: Smart Healthcare Analytics in IoT Enabled Environment
ISBN: 3030375501 ISBN-13(EAN): 9783030375508
Издательство: Springer
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Цена: 19514.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.

Smart Healthcare Analytics in Iot Enabled Environment

Автор: Pattnaik Prasant Kumar, Mohanty Suneeta, Mohanty Satarupa
Название: Smart Healthcare Analytics in Iot Enabled Environment
ISBN: 3030375536 ISBN-13(EAN): 9783030375539
Издательство: Springer
Цена: 19514.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.

Machine Learning with Health Care Perspective: Machine Learning and Healthcare

Автор: Jain Vishal, Chatterjee Jyotir Moy
Название: Machine Learning with Health Care Perspective: Machine Learning and Healthcare
ISBN: 3030408493 ISBN-13(EAN): 9783030408497
Издательство: Springer
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Цена: 18294.00 р.
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.

Healthcare Analytics Made Simple

Автор: Kumar Vikas
Название: Healthcare Analytics Made Simple
ISBN: 1787286703 ISBN-13(EAN): 9781787286702
Издательство: Неизвестно
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Цена: 8458.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine learning and analytics have been widely utilized across the healthcare sector of late. This book will bridge the gap between practicing doctors and you as a data scientist. You will learn how to work with healthcare data and gain better insight from this data to improve healthcare outcomes.

Machine Learning and Analytics in Healthcare Systems: Principles and Applications

Автор: Bansal Himani, Balusamy Balamurugan, Poongodi T.
Название: Machine Learning and Analytics in Healthcare Systems: Principles and Applications
ISBN: 0367564866 ISBN-13(EAN): 9780367564865
Издательство: Taylor&Francis
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Цена: 7961.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy.

The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing.

The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.

Machine Learning for Practical Decision Making

Автор: El Morr
Название: Machine Learning for Practical Decision Making
ISBN: 3031169891 ISBN-13(EAN): 9783031169892
Издательство: Springer
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Цена: 14635.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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