Potential of machine learning methods in operational risk stratification in patients with coronary artery disease scheduled for coronary bypass surgery
Aim. To develop and evaluate the effectiveness of models for predicting mortality after coronary bypass surgery, obtained using machine learning analysis of preoperative data.Material and methods. As part of a cohort study, a retrospective prediction of in-hospital mortality after coronary artery by...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
«FIRMA «SILICEA» LLC
2023-03-01
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| Series: | Российский кардиологический журнал |
| Subjects: | |
| Online Access: | https://russjcardiol.elpub.ru/jour/article/view/5211 |