A Multiple Logistic Regression Model as an Additional Mathematical Method for Predicting the Development of Ischemic Stroke in Patients with Atrial Fibrillation

A Multiple Logistic Regression Model as an Additional Mathematical Method for Predicting the Development of Ischemic Stroke in Patients with Atrial Fibrillation

Prevention of thromboembolic complications in cases of atrial fibrillation (AF) and, above all, ischemic stroke (IS), represents a key problem of modern cardiology. The aim of the present study was to assess the feasibility of Multiple Logistic Regression Analysis in predicting the occurrence of IS...

Full description

Bibliographic Details
Main Authors: Natalya V. Aksyutina, Vladimir A. Shulman, Svetlana Yu. Nikulina, Vasily V. Kozlov, Oksana A. Gavrilyuk, Andrei V. Bespalov, Larissa G. Soinova, Eduard V. Semyonov
Format: Article
Language:English
Published: International Medical Research and Development Corporation 2018-12-01
Series:International Journal of Biomedicine
Subjects:
atrial fibrillation
ischemic stroke
multiple logistic regression analysis
predictor genotypes
Online Access:http://ijbm.org/articles/IJBM_8(4)_OA_2.pdf

Internet

http://ijbm.org/articles/IJBM_8(4)_OA_2.pdf

Similar Items