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

• Päätekijät: Kritski Afrânio (Tekijä), Chaisson Richard E (Tekijä), Conde Marcus (Tekijä), Rezende Valéria MC (Tekijä), Soares Sérgio (Tekijä), Bastos Luiz (Tekijä), Mello Fernanda (Tekijä), Ruffino-Netto Antonio (Tekijä), Werneck Guilherme (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: BMC, 2006-02-01T00:00:00Z.
• Aiheet: article
• Linkit: 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>...