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

• Asıl Yazarlar: Kritski Afrânio (Yazar), Chaisson Richard E (Yazar), Conde Marcus (Yazar), Rezende Valéria MC (Yazar), Soares Sérgio (Yazar), Bastos Luiz (Yazar), Mello Fernanda (Yazar), Ruffino-Netto Antonio (Yazar), Werneck Guilherme (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: BMC, 2006-02-01T00:00:00Z.
• Konular: article
• Online Erişim: 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>...