Artificial Neural Networks in Biomedicine /

This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data p...

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Bibliographic Details
Main Author: Lisboa, Paulo J. G.
Corporate Author: SpringerLink (Online service)
Other Authors: Ifeachor, Emmanuel C., Szczepaniak, Piotr S.
Format: eBook
Language:English
Published: London : Springer London : Imprint : Springer, 2000.
Series:Perspectives in neural computing.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. Artificial Neural Networks in Biomedicine will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.
Item Description:Electronic resource.
Physical Description:1 online resource (XIV, 290 pages)
ISBN:9781447104872 (electronic bk.)
1447104870 (electronic bk.)