On the use of Bayesian network classifiers to classify patients with peptic ulcer among upper gastrointestinal bleeding patients

On the use of Bayesian network classifiers to classify patients with peptic ulcer among upper gastrointestinal bleeding patients

A Bayesian network classifier is one type of graphical probabilistic models that is capable of representing relationship between variables in a given domain under study. We consider the naive Bayes, tree augmented naive Bayes (TAN) and boosted augmented naive Bayes (BAN) to classify patients with pe...

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Bibliographic Details
Main Authors: Nazziwa Aisha, Adam, Mohd Bakri
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/47668/
http://psasir.upm.edu.my/id/eprint/47668/1/On%20the%20use%20of%20Bayesian%20network%20classifiers%20to%20classify%20patients%20with%20peptic%20ulcer%20among%20upper%20gastrointestinal%20bleeding%20patients.pdf

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