Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review Autor B. I. Geltser, V. Yu. Rublev, M. M. Tsivanyuk, K. I. Shakhgeldyan

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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease Autor B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease Autor B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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Сomorbidity of coronary artery disease and its significance in predicting the results of coronary artery bypass grafting Autor V. Yu. Rublev, B. I. Geltser, E. A. Sergeev, V. N. Kotelnikov, R. S. Karpov

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Algorithm for selecting predictors and prognosis of atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting Autor B. I. Geltser, K. I. Shakhgeldyan, V. Yu. Rublev, B. O. Shcheglov, E. A. Kokarev

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Phenotyping of risk factors and prediction of inhospital mortality in patients with coronary artery disease after coronary artery bypass grafting based on explainable artificial in... Autor B. I. Geltser, K. I. Shakhgeldyan, V. Yu. Rublev, I. G. Domzhalov, M. M. Tsivanyuk, O. I. Shekunova

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Prediction of in-hospital mortality in patients with ST-segment elevation acute myocardial infarction after percutaneous coronary intervention Autor B. I. Geltser, K. I. Shahgeldyan, I. G. Domzhalov, N. S. Kuksin, E. A. Kokarev, V. N. Kotelnikov, V. Yu. Rublev

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