|Autors: Prodanova, K. S., Negreva, M., Vitlianova, K.|
Title: Diagnostic Values of Some Fibrinolytic Indicators for Rejecting the Presence of Paroxysmal Atrial Fibrillation
Keywords: ogistic regression analysis, receiver operating characteristics
Abstract: Diagnostic tests are a cornerstone in modern medicine. They are used not only to confirm the presence of a disease but also to rule out the disease in healthy subjects. Tests with two outcome categories (i.e. presence/absence) are known as dichotomous tests. Their inherent validity is determined by sensitivity and specificity and the receiver operating characteristic (ROC) curve is known to be a simple, yet complete plot that displays the full picture of trade-off between the sensitivity (true positive rate) and (1-specificity) (false positive rate) across a series of cut-off points. Our study found that, even in the early hours of paroxysmal atrial fibrillation, there were significant changes in major indicators of fibrinolysis, namely plasminogen level, t-PA level, PAI-1 activity, α2-antiplasmin activity, vitronectin and D-dimer plasma levels.
1. Khan, Tamoor, et al. "Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture" Agronomy 2021, 11(8), 1551, 2021; https://doi.org/10.3390/agronomy11081551 (IF 2020=2.24) - 2021 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Google Scholar