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A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis

Waleska Simões, P.; Mazzuchello, L.L.; Toniazzo de Abreu, L.L.; Garcia, D.; dos Passos, M.ê G.; Venson, R.; Bisognin Ceretta, L.; Veiga Silva, A.C.; da Rosa, M.I.ês.; Martins, P.J.ão.

Studies in Health Technology and Informatics 216: 1075

2015

ISSN/ISBN: 1879-8365
PMID: 26262374
Accession: 057024160
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This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, it is possible to produce a reasonably accurate estimate of the diagnosis.

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