The representation of medical reasoning models in resolution-based theorem provers

Peter Lucas*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
12 Downloads (Pure)

Abstract

First-order predicate logic essentially is a language to express knowledge concerning objects and relationships between objects in a domain. Many medical problems can be cast naturally in such terms. In this paper the suitability of logic as a knowledge-representation formalism for building medical expert systems is investigated. In particular, we investigate the logical representation of three typical reasoning models in medicine: diagnostic, anatomical and causal reasoning. It turns out that each of these models has its own characteristic logical structure. Furthermore, the pragmatics of using theorem-proving techniques in consulting such logic-based medical expert systems is discussed. In particular, attention is paid to the use of a meta-level architecture to improve the applicability of theorem-proving techniques in building expert systems.

Original languageEnglish
Pages (from-to)395-414
Number of pages20
JournalArtificial intelligence in medicine
Volume5
Issue number5
DOIs
Publication statusPublished - Oct 1993
Externally publishedYes

Keywords

  • Expert systems
  • Logic programming in medicine
  • Medical knowledge representation
  • Theorem proving

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