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

• Hoofdauteurs: Kritski Afrânio (Auteur), Chaisson Richard E (Auteur), Conde Marcus (Auteur), Rezende Valéria MC (Auteur), Soares Sérgio (Auteur), Bastos Luiz (Auteur), Mello Fernanda (Auteur), Ruffino-Netto Antonio (Auteur), Werneck Guilherme (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMC, 2006-02-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

<p>Abstract</p> <p>Background</p> <p>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.</p>...