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http://dx.doi.org/10.5351/KJAS.2017.30.4.591

Build the nomogram by risk factors of chronic obstructive pulmonary disease (COPD)  

Seo, Ju-Hyun (Department of Statistics, Yeungnam University)
Oh, Dong-Yep (Gyeongsangbuk-Do Livestock Research Institute)
Park, Yong-Soo (Department of Equine Industry, Korea National College of Agriculture and Fisheries)
Lee, Jea-Young (Department of Statistics, Yeungnam University)
Publication Information
The Korean Journal of Applied Statistics / v.30, no.4, 2017 , pp. 591-602 More about this Journal
Abstract
The concentration of fine dust has increased in Korea and people have become more concerned with respiratory diseases. This study selected risk factors for chronic obstructive pulmonary disease (COPD) through demographic and clinical features and constructed a nomogram. First, logistic regression analysis was performed using demographic and clinical feature and the pulmonary function test results of the Korean National Health and Nutrition Examination Survey (KNHANES) $6^{th}$ (2013-2015) and the nomogram was constructed to visualize the risk factors of chronic obstructive pulmonary disease in order to facilitate the interpretation of the analysis results. The ROC curve and calibration plot were also used to verify the nomogram of chronic obstructive pulmonary disease.
Keywords
chronic obstructive pulmonary disease (COPD); logistic regression analysis; nomogram; risk factors;
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Times Cited By KSCI : 1  (Citation Analysis)
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