Automated transformation of probabilistic knowledge for a medical diagnostic system.

Y. C. Li, P. J. Haug, H. R. Warner

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Iliad is a large medical diagnostic system that covers more than 2000 diagnoses and 9000 findings. Due to the size and the complexity of this system, a robust knowledge representation is essential to consistently and efficiently model the medical knowledge involved. In this paper, we describe the knowledge representation currently used in Iliad and a probabilistic representation based on the Bayesian network formalism which can be derived using the information that the Iliad knowledge base contains.

Original languageEnglish
Pages (from-to)765-769
Number of pages5
JournalProceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
Publication statusPublished - 1994
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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