AUTOMATED TRANSFORMATION OF PROBABILISTIC KNOWLEDGE FOR A MEDICAL DIAGNOSTIC SYSTEM

Authors
LI YC HAUG PJ WARNER HR
Citation
Yc. Li et al., AUTOMATED TRANSFORMATION OF PROBABILISTIC KNOWLEDGE FOR A MEDICAL DIAGNOSTIC SYSTEM, Journal of the American Medical Informatics Association, 1994, pp. 765-769
Citations number
27
Categorie Soggetti
Information Science & Library Science","Medicine Miscellaneus","Computer Science Information Systems
Journal title
Journal of the American Medical Informatics Association → ACNP
ISSN journal
10675027
Year of publication
1994
Supplement
S
Pages
765 - 769
Database
ISI
SICI code
1067-5027(1994):<765:ATOPKF>2.0.ZU;2-8
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 thi s system, a robust knowledge representation is essential to consistent ly 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 formalis m which can be derived using the information that the Iliad knowledge base contains.