A screening system for smear-negative pulmonary tuberculosis using artificial neural networks | Zendy

João Baptista de Oliveira e Souza Filho | Zendy; J. M. Seixas | Zendy; Rafael Mello Galliez | Zendy; Basílio de Bragança Pereira | Zendy; Fernanda C. de Q Mello | Zendy; Alcione Miranda dos Santos | Zendy; Afrânio Lineu Kritski | Zendy

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A screening system for smear-negative pulmonary tuberculosis using artificial neural networks

Author(s) -

João Baptista de Oliveira e Souza Filho,

J. M. Seixas,

Rafael Mello Galliez,

Basílio de Bragança Pereira,

Fernanda C. de Q Mello,

Alcione Miranda dos Santos,

Afrânio Lineu Kritski

Publication year - 2016

Publication title -

international journal of infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.278

H-Index - 89

eISSN - 1878-3511

pISSN - 1201-9712

DOI - 10.1016/j.ijid.2016.05.019

Subject(s) - medicine , confidence interval , receiver operating characteristic , logistic regression , cart , multilayer perceptron , artificial neural network , artificial intelligence , computer science , engineering , mechanical engineering

Molecular tests show low sensitivity for smear-negative pulmonary tuberculosis (PTB). A screening and risk assessment system for smear-negative PTB using artificial neural networks (ANNs) based on patient signs and symptoms is proposed.

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