National Science Library of Georgia

Clinical applications of artificial neural networks / (Record no. 521272)

MARC details
000 -LEADER
fixed length control field 03924nam a22003858i 4500
001 - CONTROL NUMBER
control field CR9780511543494
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200124160313.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090505s2001||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780511543494 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780521662710 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780521001335 (paperback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R853.D37
Item number C535 2001
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616/.00285/632
Edition number 21
245 00 - TITLE STATEMENT
Title Clinical applications of artificial neural networks /
Statement of responsibility, etc edited by Richard Dybowski and Vanya Gant.
264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R)
Place of production, publication, distribution, manufacture (R) Cambridge :
Name of producer, publisher, distributor, manufacturer (R) Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2001.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (ix, 368 pages) :
Other physical details digital, PDF file(s).
336 ## - Content Type (R)
Content type term (R) text
Content type code (R) txt
Source (NR) rdacontent
337 ## - Media Type (R)
Media type term (R) computer
Media type code (R) c
Source (NR) rdamedia
338 ## - Carrier Type (R)
Carrier type term (R) online resource
Carrier type code (R) cr
Source (NR) rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction / Richard Dybowski and Vanya Gant -- Part I. Applications -- 2. Artifical neural networks in laboratory medicine / Simon S. Cross -- 3. Using artifical neural networks to screen cervical smears: how new technology enhances health care / Mathilde E. Boon and Lambrecht P. Kok -- 4. Neural network analysis of sleep disorders / Lionel Tarassenko, Mayela Zamora and James Pardey -- 5. Artificial neural networks for neonatal intensive care / Emma A. Braithwaite [and others] -- 6. Artificial neural networks in urology: applications, feature extraction and user implementations / Craig S. Niederberger and Richard M. Golden -- 7. Artificial neural lnetworks as a tool for whole organism fingerprinting in bacterial taxonomy / Royston Goodacre -- Part I. Prospects -- 8. Recent advances in EEG signal analysis and classification / Charles W. Anderson and David A. Peterson.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decison support? / Robert F. Harrison [and others] -- 10. Evolving artificial neural networks / V. William Porto and David B. Fogel -- Part III. Theory -- 11. Neural networks as statistical methods in survival analysis / Brian D. Ripley and Ruth M. Ripley -- 12. A review of techniques for extracting rules from trained artificial neural networks / Robert Andrews, Alan B. Tickle and Joachim Diederich -- 13. Confidence intervals and prediction intervals for feedforward neural networks / Richard Dybowski and Stephen J. Roberts -- Part IV. Ethics and clinical prospects -- 14. Artificial neural networks: practical considerations for clinical application / Vanya Gant, Susan Rodway and Jeremy Wyatt.
520 ## - SUMMARY, ETC.
Summary, etc Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine
General subdivision Research
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Clinical medicine
General subdivision Decision making
-- Data processing.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dybowski, Richard,
Dates associated with a name 1951-
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gant, Vanya,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9780521662710
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/CBO9780511543494">https://doi.org/10.1017/CBO9780511543494</a>

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