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Neural Computation in Medicine: Perspectives and Prospects

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Artificial Neural Networks in Medicine and Biology

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

In 1998, over 400 papers on artificial neural networks (ANNs) were published in the context of medicine, but why is there this interest in ANNs? And how do ANNs compare with traditional statistical methods? We propose some answers to these questions, and go on to consider the ‘black box’ issue. Finally, we briefly look at two directions in which ANNs are likely to develop, namely the use of Bayesian statistics and knowledge-data fusion.

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Author information

Authors and Affiliations

  1. Medical Informatics Laboratory, Division of Medicine, King’s College London, (St Thomas’ Campus), London, UK

    Richard Dybowski

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  1. Richard Dybowski
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Editor information

Editors and Affiliations

  1. Department of Philosophy, Göteborg University, Box 200, SE-405 30, Göteborg, Sweden

    Helge Malmgren BA, PhD, MD

  2. Department of Electrical Engineering, Linköping University, SE-585 83, Linköping, Sweden

    Magnus Borga MSc, PhD

  3. Department of Computer Science, University of Skövde, PO Box 408, SE-541 28, Skövde, Sweden

    Lars Niklasson BSc, MSc, PhD

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© 2000 Springer-Verlag London

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Dybowski, R. (2000). Neural Computation in Medicine: Perspectives and Prospects. In: Malmgren, H., Borga, M., Niklasson, L. (eds) Artificial Neural Networks in Medicine and Biology. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0513-8_4

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  • DOI: https://doi.org/10.1007/978-1-4471-0513-8_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-289-1

  • Online ISBN: 978-1-4471-0513-8

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