Advertisement

AIME 87

European Conference on Artificial Intelligence in Medicine Marseilles, August 31st – September 3rd 1987 Proceedings

  • John Fox
  • Marius Fieschi
  • Rolf Engelbrecht

Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 33)

Table of contents

  1. Front Matter
    Pages N2-X
  2. Methodology

    1. Front Matter
      Pages 1-1
    2. Christian Mery, Bernard Normier, Antoine Ogonowski
      Pages 3-8
    3. Josef van Thillo, Adolf Mulders
      Pages 9-14
    4. Günter M. Tusch, Jochen Bernauer, P. L. Reichertz
      Pages 25-33
  3. Clinical Applications (1)

    1. Front Matter
      Pages 35-35
    2. Jan L. Talmon, Ruud A. J. Schijven, Peter J. E. H. M. Kitslaar, Renée Penders
      Pages 37-44
    3. R. Schmid, P. Zanocco, A. Buizza, G. Magenes, M. Manfrin, E. Mira
      Pages 45-53
    4. Jean-Louis Renaud-Salis, Françoise Bonichon, Michel Durand, Antoine Avril, Claude Lagarde, J. P. Serre et al.
      Pages 54-70
  4. Qualitative Reasoning

  5. Knowledge Acquisition and Representation

    1. Front Matter
      Pages 97-97
    2. M. Funk, R. D. Appel, Ch. Roch, D. Hochstrasser, Ch. Pellegrini, A. F. Müller
      Pages 99-103
    3. Ian Hamlet, Jim Hunter
      Pages 112-119
  6. Management of Uncertainty

    1. Front Matter
      Pages 121-121
    2. J. C. Buisson, H. Farreny, H. Prade, M. C. Turnin, J. P. Tauber, F. Bayard
      Pages 123-140
    3. Finn V. Jensen, Stig K. Andersen, Uffe Kjærulff, Steen Andreassen
      Pages 149-160
    4. P. A. Riss, H. Koelbl, A. Reinthaller, J. Deutinger
      Pages 161-165
  7. Knowledge Engineering Tools

    1. Front Matter
      Pages 167-167
    2. W. Horn, H. Imhof, B. Pfahringer, E. Salomonowitz
      Pages 169-176
  8. General Session

    1. Front Matter
      Pages 203-203
    2. Luca Console, Mauro Fossa, Pietro Torasso, Gianpaolo Molino, Cesare Cravetto
      Pages 205-212
    3. John Fox, Andrzej Glowinski, Michael O’Neil
      Pages 213-226
  9. Clinical Applications (2)

    1. Front Matter
      Pages 227-227
    2. S. Quaglini, M. Stefanelli, G. Barosi, A. Berzuini
      Pages 229-236
    3. R. B. M. Jaspers, F. C. T. van der Helm
      Pages 237-246
    4. J. M. Goutal, N. Philip, M. Griffiths, S. Aymé
      Pages 247-250
    5. Deirdre Ni Fhaircheallaigh, Margaret Sinnott, Jane Grimson, Tony McGill, Rory O’Moore
      Pages 251-255
  10. Back Matter
    Pages 257-257

About these proceedings

Introduction

The current scarcity of expert systems where the reasoning is based on Bayesian probability theory may be due to misconceptions about probabilities found in the literature. As argued by Cheeseman (1985), these misconceptions have led to the attitude: "The Bayesian approach doesn't work - so here is a new scheme". Several of these expert systems based on ad hoc "probability" concepts have been successful in a number of ways, demonstrating the necessity of being able to handle uncertainty in medical expert systems. They also demonstrate the need for a theoretically sound handling of uncertainty. In Andersen et al. (1986) it was postulated that knowledge organized in a causal network can be used for a unified approach to the main tasks of a medical expert system: diagnosis, planning of tests and explanations. The present paper explores this postulate in a causal probabilistic network. It also provides a practical demonstration that the problems supposedly associated with probabilistic networks are either non-existent or that practical solutions can be found. This paper reports on the methods implemented in MUNIN* -an expert system for electromyography (EMG) (Andreassen et al. 1987). EMG is the diagnosis of muscle and nerve diseases through analysis of bioelectrical signals from muscle and nerve tissue. In Andreassen et al.

Keywords

European Conference on Artificial Intelligence Knowledge Engineering Prolog Radiologieinformationssystem artificial intelligence classification diagnosis expert system intelligence knowledge knowledge representation learning machine learning simulation uncertainty

Editors and affiliations

  • John Fox
    • 1
  • Marius Fieschi
    • 2
  • Rolf Engelbrecht
    • 3
  1. 1.Biomedical Computing UnitImperial Cancer Research Fund LaboratoriesLondonUK
  2. 2.Laboratoire d’Informatique Médical de la Faculté de MédecineUniversité de MarseilleMarseille Cédex 5France
  3. 3.MEDIS-InstitutGesellschaft für Strahlen- und Umweltforschung mbH MünchenNeuherbergFederal Republic of Germany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-95549-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 1987
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-18402-7
  • Online ISBN 978-3-642-95549-5
  • Series Print ISSN 0172-7788
  • Buy this book on publisher's site
Industry Sectors
Pharma
Health & Hospitals
Biotechnology
Consumer Packaged Goods