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Clinical Applications of Artificial Neural Networks, , Very Good Book

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“crisp clean w/light shelfwear/edgewear - may have remainder mark Standard-sized.”
ISBN
9780521662710

Informazioni su questo prodotto

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521662710
ISBN-13
9780521662710
eBay Product ID (ePID)
1833687

Product Key Features

Number of Pages
380 Pages
Publication Name
Clinical Applications of Artificial Neural Networks
Language
English
Subject
Neural Networks, General
Publication Year
2001
Type
Textbook
Author
Vanya Gant
Subject Area
Computers, Medical
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
28.2 Oz
Item Length
10 in
Item Width
7.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
00-046796
Reviews
‘… a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.’Doctors.net, '… a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.' Doctors.net, '... a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.' Doctors.net, "The book is rich in reviews...a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making." Doctors.net
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
616/.00285/632
Table Of Content
List of contributors; 1. Introduction Richard Dybowski and Vanya Gant; Part I. Applications: 2. Artificial neural networks in laboratory medicine Simon S. Cross; 3. Using artificial 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, Jimmy Dripps, Andrew J. Lyon and Alan Murray; 6. Artificial neural networks in urology: applications, feature extraction and user implementations Craig S. Niederberger and Richard M. Golden; 7. Artificial neural networks as a tool for whole organism fingerprinting in bacterial taxonomy Royston Goodacre; Part II. Prospects: 8. Recent advances in EEG signal analysis and classification Charles W. Anderson and David A. Peterson; 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decision support? Robert F. Harrison, Simon S. Cross, R. Lee Kennedy, Chee Peng Lim and Joseph Downs; 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; Index.
Synopsis
Artificial neural networks provides a powerful tool to help doctors analyze, 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 cutting-edge volume. In addition to looking at new and forthcoming applications the book looks forward to exciting future prospects on the horizon. The volume also examines ethical and legal concerns about the use of "black-box" systems as decision aids in medicine. This eclectic collection of chapters provides an exciting overview of current and future prospects for harnessing the power of artificial neural networks in the investigation and treatment of disease., 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., This is a story about a woman. And the truck driver who mistook her for a prostitute. The old man she robbed and the hunters who smuggled her across the border. The woman whose name she stole, the wife who turned a blind eye. This is the story of a mother searching for her child. This is a novel you cannot stop thinking about., 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.
LC Classification Number
R853.D37 C535 2001

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