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A quantification study of blood test results for dyspnea patients  

Park, Cheol-Yong (Department of Statistics, Keimyung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.22, no.3, 2011 , pp. 477-485 More about this Journal
Abstract
Park et. al (2010) proposed a statistical model for determining the admission or discharge of 668 patients with a chief complaint of dyspnea by the number of 11 blood tests belonging to the corresponding discharge intervals. Since this method does not take into consideration the importance of each blood test result, its performance might not be optimally good. In this study, we employ a quantification method to evaluate the importance of those blood test results, and then provide a new statistical mode that takes the importance into consideration. The results show that the performance of this new model is a little better than that of the model by Park et. al (2010).
Keywords
Admission or discharge; dyspnea patients; imbalance class; kernel density function; quantification method;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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