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.Table of Contents List of contributors1. Introduction Richard Dybowski and Vanya GantPart I. Applications: 2. Artificial neural networks in laboratory medicine Simon S. Cross3. Using artificial neural networks to screen cervical smears: how new technology enhances health care Mathilde E. Boon and Lambrecht P. Kok4. Neural network analysis of sleep disorders Lionel Tarassenko, Mayela Zamora and James Pardey5. Artificial neural networks for neonatal intensive care Emma A. Braithwaite, Jimmy Dripps, Andrew J. Lyon and Alan Murray6. Artificial neural networks in urology: applications, feature extraction and user implementations Craig S. Niederberger and Richard M. Golden7. Artificial neural networks as a tool for whole organism fingerprinting in bacterial taxonomy Royston GoodacrePart II. Prospects: 8. Recent advances in EEG signal analysis and classification Charles W. Anderson and David A. Peterson9. 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 Downs10. Evolving artificial neural networks V. William Porto and David B. FogelPart III. Theory: 11. Neural networks as statistical methods in survival analysis Brian D. Ripley and Ruth M. Ripley12. A review of techniques for extracting rules from trained artificial neural networks Robert Andrews, Alan B. Tickle and Joachim Diederich13. Confidence intervals and prediction intervals for feedforward neural networks Richard Dybowski and Stephen J. RobertsPart IV. Ethics and Clinical Prospects: 14. Artificial neural networks: practical considerations for clinical application Vanya Gant, Susan Rodway and Jeremy WyattIndex.
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Titolo: Clinical Applications of Artificial Neural Networks
Autori: Dybowski - Gant
Editore: Cambridge University Press
Edizione: I 2007
Finitura: Copertina flessibile
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