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Anais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS)
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 proposes the modeling and presents a performance evaluation study of the Bayesian classifier named Tree Augmented Na¨ıve Bayes (TAN). Results show that the proposed algorithm obtained good performance for adoi:10.5753/sbcas.2017.3730 fatcat:4jepovr77fcjddrjpa6js5xaxi