Soft Computing for Biomedical Applications...

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Sprache: Englisch

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Beschreibung

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.

Zusammenfassung

Discusses recent research on soft computing for biomedical applications and related topics

Presents applications and technical aspects of soft computing for biomedical problems

Intended for practitioners and researchers alike, introducing them to the latest soft computing techniques

Inhaltsverzeichnis

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.

Erscheinungsjahr:	2020
Fachbereich:	Technik allgemein
Genre:	Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	340
Reihe:	Studies in Computational Intelligence
Inhalt:	ix 329 S. 72 s/w Illustr. 123 farbige Illustr. 329 p. 195 illus. 123 illus. in color.
ISBN-13:	9783030495350
ISBN-10:	3030495353
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Redaktion:	Hoang Phuong, Nguyen Kreinovich, Vladik
Herausgeber:	Vladik Kreinovich/Nguyen Hoang Phuong
Auflage:	1st ed. 2021
Hersteller:	Springer International Publishing Springer International Publishing AG Studies in Computational Intelligence
Maße:	241 x 160 x 24 mm
Von/Mit:	Nguyen Hoang Phuong (u. a.)
Erscheinungsdatum:	30.06.2020
Gewicht:	0,676 kg

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