Automated transformation of probabilistic knowledge for a medical diagnostic system.
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.
Li
Y C
YC
Department of Medical Informatics, University of Utah, Salt Lake City.
Haug
P J
PJ
Warner
H R
HR
D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D016571:Neural Networks, Computer