A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Clinical decision-support systems
Medical informatics: computer applications in health care
Dempster's rule of combination is #P-complete (research note)
Artificial Intelligence
Bayesian inference in an expert system without assuming independence
Advances in artificial intelligence
Causal networks: semantics and expressiveness
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Artificial Intelligence in Medicine
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The first decision-support system designed for the management of septicaemia was MYCIN. Although MYCIN played a vital role in the conception of knowledge-based systems, it never became an established clinical system. This paper describes an altemative decision-support system for septicaemia management currently under development at St. Thomas' Hospital (London) where a large database of septicaemia episodes has been compiled. The three statistical approaches that have been considered are described. These are (i) relative frequencies, (ii) the naive Bayes method and (iii) logistic regression. We also discuss how the concept of probabilistic influence diagrams could be of benefit to the development and implementation of the decision-support system.