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Representation and acquisition of expert knowledge for medical diagnosis system

  • B. Q. Sun*
  • , Q. S. Pan
  • , Y. J. Feng
  • , C. S. Zhang
  • , Z. Z. Guan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper analyses the incompleteness of medical diagnosis experts knowledge and the method of integrating expert system with neural network for the representation and acquisition of expert knowledge. The single parameter dynamic searching algorithm works better than BP algorithm. An intelligent medical diagnostic system designed by integration of expert system and neural network for clinical diagnostic is presented. The results show that the method of integrating expert system with neural network is effective for representation and acquisition of expert knowledge.

Original languageEnglish
Pages (from-to)134-136
Number of pages3
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume33
Issue number1
StatePublished - Feb 2001
Externally publishedYes

Keywords

  • Medical diagnostic system
  • Neural network
  • Representation and acquisition of expert knowledge
  • Single parameter dynamic searching algorithm

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