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

• Main Authors: Kritski Afrânio (Author), Chaisson Richard E (Author), Conde Marcus (Author), Rezende Valéria MC (Author), Soares Sérgio (Author), Bastos Luiz (Author), Mello Fernanda (Author), Ruffino-Netto Antonio (Author), Werneck Guilherme (Author)
• Format: Book
• Published: BMC, 2006-02-01T00:00:00Z.
• Subjects: article
• Online Access: 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>...