LOGISTIC REGRESSION MODEL AS AN ADDITIONAL MATHEMATICAL METHOD FOR PREDICTING THE DEVELOPMENT OF lONE ATRIAL FIBRILLATION

LOGISTIC REGRESSION MODEL AS AN ADDITIONAL MATHEMATICAL METHOD FOR PREDICTING THE DEVELOPMENT OF lONE ATRIAL FIBRILLATION

After studying the Association of the TT genotype and the T allele with the development of lone atrial fibrillation (AF) and constructing a logistic regression model, it was revealed that the probability share of lone AF in the presence of the TT genotype is 6,2%; for the absence of lone AF – 95,1%....

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Bibliographic Details
Main Authors: Natalya Valeryevna Aksyutina, Vladimir Abramovich Shulman, Elena Evgenevna Aldanova, Elena Yurievna Pelipeckaya, Sergey Sergeevich Petrov, Vasily Vladimirovich Kozlov, Nikolay Andreevich Stepanov
Format: Article
Language:English
Published: Science and Innovation Center Publishing House 2019-05-01
Series:Siberian Journal of Life Sciences and Agriculture
Subjects:
изолированная фибрилляция предсердий
логистическая регрессионная модель
полиморфизм rs2200733
Online Access:http://journal-s.org/index.php/vmno/article/view/12360

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