A model-based method for computer-aided medical decision-making
TLDR
A general method of computer-assisted medical decision-making based on causal-associational network (CASNET) models of disease based on observations of a patient, pathophysiological states, and disease classifications for diagnosis and treatment of the glaucomas has been developed.About:Â
This article is published in Artificial Intelligence.The article was published on 1978-08-01 and is currently open access. It has received 489 citations till now.read more
Figures
FIGURE 7-4 Examples of treatment plans. 
FIGURE 7-5 Examples of program-generated decisions for a case of pigmentary glaucoma, abstracted from a sequence of seven visits. 
FIGURE 7-1 Three-level description of a disease process. 
FIGURE 7-2 Partial causal network for glaucoma. States with no antecedent causes are indicated by asterisks (*). The circled numbers correspond to the state labels (nj) used in examples in the text.
Citations
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Journal ArticleDOI
On the statistical analysis of dirty pictures
TL;DR: In this paper, the authors proposed an iterative method for scene reconstruction based on a non-degenerate Markov Random Field (MRF) model, where the local characteristics of the original scene can be represented by a nondegenerate MRF and the reconstruction can be estimated according to standard criteria.
Journal ArticleDOI
Local computations with probabilities on graphical structures and their application to expert systems
Journal ArticleDOI
The computational complexity of probabilistic inference using Bayesian belief networks (research note)
TL;DR: In this article, it was shown that probabilistic inference using belief networks is NP-hard and that it seems unlikely that an exact algorithm can be developed to perform inference efficiently over all classes of belief networks and that research should be directed toward the design of efficient special-case, average-case and approximation algorithms.
Book
Readings in Distributed Artificial Intelligence
Alan H. Bond,Les Gasser +1 more
TL;DR: This comprehensive collection of articles shows the breadth and depth of DAI research as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction.
Journal ArticleDOI
Using explicit ontologies in KBS development
TL;DR: The main message is that early in the knowledge engineering process an application-specific ontology should be constructed, and some principles for organizing a library of reusable ontological theories which can be configured into an application ontology are presented.
References
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