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Logistic Regression Model for Prediction of Airway Reversibility Using Peak Expiratory Flow

BACKGROUND: Using peak expiratory flow (PEF) as an alternative to spirometry parameters (FEV1 and FVC), for detection of airway reversibility in diseases with airflow limitation is challenging. We developed logistic regression (LR) model to discriminate bronchodilator responsiveness (BDR) and then c...

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Main Authors: Shakeri, Javad, Paknejad, Omalbanin, Moghadam, Keivan Gohari, Taherzadeh, Maryam
Formato: Artigo
Idioma:Inglês
Publicado: National Research Institute of Tuberculosis and Lung Disease 2012
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4153189/
https://ncbi.nlm.nih.gov/pubmed/25191401
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