Clinical Applications of Artificial Neural Networks

ISBN: 9780521001335 出版年：2001 页码：380 Richard Dybowski Vanya Gant Cambridge University Press

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.