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Clinical Applications of Artificial Neural Networks

Clinical Applications of Artificial Neural Networks

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Richard Dybowski, Vanya Gant, Simon S. Cross, Mathilde E. Boon, Lambrecht P. Kok, Lionel Tarassenko, Mayela Zamora, James Pardey, Emma A. Braithwaite, Jimmy Dripps, Andrew J. Lyon, Alan Murray, Craig S. Niederberger, Richard M. Golden, Royston Goodacre, Charles W. Anderson, David A. Peterson, Robert F. Harrison, R. Lee Kennedy, Chee Peng Lim, Joseph Downs, V. William Porto, David B. Fogel, Brian D. Ripley, Ruth M. Ripley, Robert Andrews, Alan B. Tickle, Joachim Diederich, Stephen J. Roberts, Susan Rodway, Jeremy Wyatt
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  • Date Published: August 2001
  • availability: Available
  • format: Hardback
  • isbn: 9780521662710

$ 244.00
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About the Authors
  • 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.

    • Explores the potential for using artificial neural networks (ANNs) in a wide range of clinical settings
    • Provides a realistic assessment of the problems and pitfalls in applying ANNs in clinical medicine
    • Addresses the concerns, controversies and medico-legal and ethical issues related to 'black-box' systems in medicine
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    Reviews & endorsements

    '… a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.' Doctors.net

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    Product details

    • Date Published: August 2001
    • format: Hardback
    • isbn: 9780521662710
    • length: 380 pages
    • dimensions: 244 x 170 x 22 mm
    • weight: 0.8kg
    • contains: 65 b/w illus. 25 tables
    • availability: Available
  • Table of Contents

    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.

  • Editors

    Richard Dybowski, King's College London

    Vanya Gant, University College London Hospitals NHS Trust, London

    Contributors

    Richard Dybowski, Vanya Gant, Simon S. Cross, Mathilde E. Boon, Lambrecht P. Kok, Lionel Tarassenko, Mayela Zamora, James Pardey, Emma A. Braithwaite, Jimmy Dripps, Andrew J. Lyon, Alan Murray, Craig S. Niederberger, Richard M. Golden, Royston Goodacre, Charles W. Anderson, David A. Peterson, Robert F. Harrison, R. Lee Kennedy, Chee Peng Lim, Joseph Downs, V. William Porto, David B. Fogel, Brian D. Ripley, Ruth M. Ripley, Robert Andrews, Alan B. Tickle, Joachim Diederich, Stephen J. Roberts, Susan Rodway, Jeremy Wyatt

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