ISMDA 2000: Medical Data Analysis pp 4-14 | Cite as
Medical Bayes Networks
Conference paper
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Abstract
In this paper a succint overview of the Bayesian network paradigm is presented, in an introductory manner. The reader is not sup- posed to have knowledge about it, although some notions of probability must be taken into account. Bayesian networks are used as inference tools in probabilistic expert systems, being its utilization extended to many research and application fields. Some examples in the medical world are presented, as well as the way they can be constructed and used. We do not emphasize in the calculi to be done; as there are many commercial and free software packages, they can be used without deep knowledge about the formulae to be applied.
Keywords
Bayesian Network Decision Node Neonatal Jaundice Chance Node Learn Bayesian Network
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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