Medical Bayes Networks

Authors:
Basilio Sierra;Iñaki Inza;Pedro Larrañaga
Affiliations:
-;-;-
Venue:
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Year:
2000

Citing 6
Cited 1

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Computer-based probabilistic-network construction

Computer-based probabilistic-network construction
A Bayesian Method for the Induction of Probabilistic Networks from Data

Machine Learning
Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Bayesian Networks

Introduction to Bayesian Networks
HUGIN: a shell for building Bayesian belief universes for expert systems

IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2

Parallel globally optimal structure learning of Bayesian networks

Journal of Parallel and Distributed Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper a succint overview of the Bayesian network paradigm is presented, in an introductory manner. The reader is not supposed 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.