Multiagent Smart Communication Based on CI Technology.- Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR data.- VectorDefense: Vectorization as a Defense to Adversarial Examples.- Artificial Intelligence in Infection Control-Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking.- Why some Non-Classical Logics are more Studied?.- Why h-index?.- Accuracy of Data Fusion: Interval (and Fuzzy) Case.- Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest.- From Machine Learning to Knowledge-based Decision Support-A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 340 pp. Englisch. N° de réf. du vendeur 9783030495381
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. 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 biom. N° de réf. du vendeur 477956668
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Taschenbuch. Etat : Neu. Soft Computing for Biomedical Applications and Related Topics | Vladik Kreinovich (u. a.) | Taschenbuch | ix | Englisch | 2021 | Springer | EAN 9783030495381 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 120176974
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783030495381
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783030495381
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