Clinical Applications Artificial Neural Networks Paperback 9780521001335

Description: Clinical Applications of Artificial Neural Networks Cambridge University Press Paperback Unused and unread, minor cosmetic imperfections such as scuffing or minor creasing. Stamped 'damaged' by publisher to a non-text page. EAN: 9780521001335 Published 12/07/2007 Language: English 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. 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. DispatchIn stock here - same-day dispatch from England. My SKU: 3275781RefundsNo-hassle refunds are always available if your book is not as expected.Terms and Conditions of SaleSorry - no collections. All sales are subject to extended Terms and Conditions of Sale as well as the Return Policy and Payment Instructions. Visit my eBay Store for details andmany more books. Template layout and design, "JNC Academic Books", "needbooks", Copyright © JNC INC. Designated trademarks, layouts and brands are the property of their respective owners. All Rights Reserved.

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