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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | 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 |