Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/233349| Title: | Predicting the success of antegrade chronic total occlusion recanalization using machine learning |
| Authors: | Abramovich, M. S. Kozlovsky, V. V. Stelmashok, V. I. Polonetsky, O. L. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2019 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 138-141. |
| Abstract: | The problem of predicting the success of antegrade coronary arteries chronic total occlusion recanalization, based on X-ray anatomical and clinical markers is considered. The results of comparative analysis of the prediction accuracy based on various machine learning algorithms are presented |
| URI: | http://elib.bsu.by/handle/123456789/233349 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 138-141.pdf | 250,9 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.