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

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

<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>...

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Bibliographic Details
Main Authors:	Kritski Afrânio, Chaisson Richard E, Conde Marcus, Rezende Valéria MC, Soares Sérgio, Bastos Luiz, Mello Fernanda, Ruffino-Netto Antonio, Werneck Guilherme
Format:	Article
Language:	English
Published:	BMC 2006-02-01
Series:	BMC Public Health
Online Access:	http://www.biomedcentral.com/1471-2458/6/43

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