Publisher description for Artificial neural networks in biomedicine / Paulo J.G. Lisboa, Emmanuel C. Ifeachor, and Piotr S. Szczepaniak (eds.) .
Bibliographic record and links to related information available from the Library of Congress catalog
Information from electronic data provided by the publisher. May be incomplete or contain other coding.
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.
Library of Congress subject headings for this publication:
Artificial intelligence -- Medical applications.
Neural networks (Computer science)
Diagnosis -- Data processing.
Expert systems (Computer science)