Soft Computing for Biomedical Applications and Related Topics (Studies in Computational Intelligence, 899)

ISBN 10: 3030495353 ISBN 13: 9783030495350
Verlag: Springer, 2020
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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. 


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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. 


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Titel: Soft Computing for Biomedical Applications ...
Verlag: Springer
Erscheinungsdatum: 2020
Einband: Hardcover
Zustand: New

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Kreinovich, Vladik und Nguyen Hoang Phuong:
Verlag: Springer, 2020
ISBN 10: 3030495353 ISBN 13: 9783030495350
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hardcover. Zustand: Sehr gut. 338 Seiten; 9783030495350.2 Gewicht in Gramm: 1. Artikel-Nr. 964483

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Verlag: Springer, 2020
ISBN 10: 3030495353 ISBN 13: 9783030495350
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Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G3030495353I2N00

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ISBN 10: 3030495353 ISBN 13: 9783030495350
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783030495350

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ISBN 10: 3030495353 ISBN 13: 9783030495350
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. Artikel-Nr. 9783030495350

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Kreinovich, Vladik (Edited by)/ Hoang Phuong, Nguyen (Edited by)
Verlag: Springer, 2020
ISBN 10: 3030495353 ISBN 13: 9783030495350
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Hardcover. Zustand: Brand New. 338 pages. 9.25x6.10x0.94 inches. In Stock. Artikel-Nr. x-3030495353

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