• DocumentCode
    279949
  • Title

    Metapattern recognition in medical diagnosis

  • Author

    Hickey, D.S. ; Prendergast, D.J. ; Roberts, H.J.

  • fYear
    1990
  • fDate
    32973
  • Firstpage
    42370
  • Lastpage
    42371
  • Abstract
    Medical diagnosis is a classification problem. Individual patients are assigned to one or more classes of illness on the basis of their symptoms. There are several complementary and competing approaches to computer based classification, including neural networks and expert systems. These approaches are discussed as examples of pattern recognition. Metapattern recognition (MPR) provides an environment in which the different pattern recognition methods may be combined to give an optimal result. The output from MPR is an optimised pattern recognition system and an estimation of its classification accuracy
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    AI in Medical Decision Making, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    190044