Automated transformation of probabilistic knowledge for a medical diagnostic system.

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

研究成果: 雜誌貢獻文章同行評審

摘要

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.

原文英語
頁(從 - 到)765-769
頁數5
期刊Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
出版狀態已發佈 - 1994
對外發佈

ASJC Scopus subject areas

  • 醫藥 (全部)

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