DESKNET: The dermatology expert system with knowledge-based network

Youngohc Yoon, Lynn L. Peterson, Paul R. Bergstresser

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

A prototypical connectionist expert system is presented. DESKNET is built for ultimate use in the instruction of medical students to diagnose papulosquamous skin diseases. DESKNET is an ES composed of a three layered back propagation network consisting of an input layer, a hidden layer, and an output layer. The units on a layer have excitatory or inhibitory connections to units on the adjacent layers. Input for the system is a list of symptoms organized by 18 parameters. The back propagation algorithm encodes the implicit 'knowledge' such that it remains in an implicit form; thus, more knowledge can be captured. Therefore, the back propagation model appears to be a useful tool for representing concepts of a domain and encoding them in a network. Limitations of the algorithm are identified.

Original languageEnglish (US)
Number of pages1
JournalNeural Networks
Volume1
Issue number1 SUPPL
DOIs
StatePublished - 1988
EventInternational Neural Network Society 1988 First Annual Meeting - Boston, MA, USA
Duration: Sep 6 1988Sep 10 1988

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence

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