Machine Learning With Health Care Perspective: Machine Learning and Healthcare
Language: English
Published by Springer Nature, 2021
Series: Book 12 of 29 - Learning and Analytics in Intelligent Systems
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 288.23
Quantity: 2 available
Add to basketItem description from seller
428 pages. 9.25x6.10x1.01 inches. In Stock.
Seller Inventory # x-3030408523
- Title
- Machine Learning With Health Care Perspective: Machine Learning and Healthcare
- Author
- Jain, Vishal (Editor)/ Chatterjee, Jyotir Moy (Editor)
- Publisher
- Springer Nature
- Publication year
- 2021
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3030408523
- ISBN 13
- 9783030408527
- Item weight
- 0.75 kilograms
- Series
- Book 12 of 29: Learning and Analytics in Intelligent Systems
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. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
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