Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural network model for classification (multilayer perceptron-...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 54; no. 11; pp. 1751 - 1760
Main Authors:	Aguiar, Fábio, Torres, Rodrigo, Pinto, João, Kritski, Afrânio, Seixas, José, Mello, Fernanda, Aguiar, Fábio S, Torres, Rodrigo C, Pinto, João V F, Kritski, Afrânio L, Seixas, José M, Mello, Fernanda C Q
Format:	Journal Article
Published:	Springer Nature Nov2016
Online Access:	View this record in EBSCOhost