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 |
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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 | 是 |
ASJC Scopus subject areas
- 醫藥 (全部)