Creating and sharing knowledge for telecommunications

Performance Evaluation of the Tree Augmented Naive Bayes Classifier for Knowledge Discovery in Healthcare Databases

Moreira, M. ; Rodrigues, J. R. ; Oliveira, A. O. ; Saleem, K. S. ; Neto, A.

Performance Evaluation of the Tree Augmented Naive Bayes Classifier for Knowledge Discovery in Healthcare Databases, Proc Sociedade Brasileira de Computação - Workshop de Informática Médica WIM, São Paulo, Brazil, Vol. , pp. - , July, 2017.

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Abstract
Smart decision support systems (DSSs) have been successfully employed in several areas. In healthcare, these systems offer solutions for uncertain reliably acts and moments. Systems based on Bayesian networks (BNs) can generate predictions even in information lack situations. This paper pro- poses the modeling and presents a performance evaluation study of the Bayesian classifier named Tree Augmented Naive Bayes (TAN). Results show that the pro- posed algorithm obtained good performance for a pregnancy database, presenting F-measure 0.92, Kappa statistic 0.8932, and ROC area 0.993. The proposed method allows representing more complex connections between variables. Nevertheless, it requires major computational effort and time that are not needed in other Bayesian algorithms.