Soft Computing for Biomedical Applications and Related Topics
Language: English
Published by Springer, 2020
Series: Book 404 of 538 - Studies in Computational Intelligence
- Hardcover
- Used

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AbeBooks seller since April 6, 2009
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- Title
- Soft Computing for Biomedical Applications and Related Topics
- Author
- Kreinovich, Vladik (EDT); Phuong, Nguyen Hoang (EDT)
- Publisher
- Springer
- Publication year
- 2020
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030495353
- ISBN 13
- 9783030495350
- Series
- Book 404 of 538: Studies in Computational Intelligence
This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.
"About the title" may belong to another edition of this title.
GreatBookPrices
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