Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study
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چکیده
منابع مشابه
Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study
BACKGROUND 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. METHODS The study enrolled 551 patients with clinical-radiological suspicion of SNPT, in Rio de Janeiro, Brazil. The original data was divided into two equival...
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ژورنال
عنوان ژورنال: BMC Public Health
سال: 2006
ISSN: 1471-2458
DOI: 10.1186/1471-2458-6-43