Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

BACKGROUND: Smear negative pulmonary tuberculosis (SNPT) accounts for 30% of pulmonary tuberculosis cases reported yearly in Brazil. This study aimed to develop a prediction model for SNPT for outpatients in areas with scarce resources. METHODS: The study enrolled 551 patients with clinical-radiolog...

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Detalles Bibliográficos
Autores principales: Mello, Fernanda Carvalho de Queiroz, Bastos, Luiz Gustavo do Valle, Soares, Sérgio Luiz Machado, Rezende, Valéria MC, Conde, Marcus Barreto, Chaisson, Richard E, Kritski, Afrânio Lineu, Ruffino-Netto, Antonio, Werneck, Guilherme Loureiro
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1402281/
https://www.ncbi.nlm.nih.gov/pubmed/16504086
http://dx.doi.org/10.1186/1471-2458-6-43

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1402281/
https://www.ncbi.nlm.nih.gov/pubmed/16504086
http://dx.doi.org/10.1186/1471-2458-6-43

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