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A causal-functional model applied to EMG diagnosis

  • Jorge Cruz
  • Pedro Barahona
Probabilistic Models and Fuzzy Logic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)

Abstract

This paper presents an EMG diagnostic Knowledge Based System, that is the first application of our methodology for reasoning with causal-functional (meta-)models. Despite past difficulties, diagnosis is still an important application of KBSs, if considered in an appropriate context of medical practice. We argue that this is the case with neurophisiology, which lends to deep modelling of the domain and associated reasoning. The results obtained with our prototype system, and the clinical context where the system may be used make it a quite promising application, not only to experiment advanced artificial intelligence techniques but also to provide an useful decision support system for medical practice.

Keywords

Knowledge representation reasoning under uncertain diagnostic KBS 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jorge Cruz
    • 1
  • Pedro Barahona
    • 1
  1. 1.Departamento de InformáticaUniversidade Nova LisboaMonte da CaparicaPortugal

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