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>...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-02-01
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| Series: | BMC Public Health |
| Online Access: | http://www.biomedcentral.com/1471-2458/6/43 |