Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models

Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. This paper proposes a decision support tool (DST) for screening pulmonary TB (PTB) patients at a secondary level clinic. This DST is composed of an adaptive resonance model (iART) for risk group identification (low, medium and high) and a multilayer perceptron (MLP) neural network for classifying patients as active or inactive PTB.

Source: Tuberculosis - May 19, 2018 Category: Respiratory Medicine Authors: Jo ão Baptista de Oliveira e Souza Filho, Mauro Sanchez, José Manoel de Seixas, Carmen Maidantchik, Rafael Galliez, Adriana da Silva Rezende Moreira, Paulo Albuquerque da Costa, Martha Maria Oliveira, Anthony David Harries, Afrânio Lineu Kritski Source Type: research