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Nikita S. Kuksin

Observed names: N, S. Kuksin, N. S. Kuksin, N.S. KUKSIN, N.S. Kuksin, Nikita S. Kuksin, Nikita Kuksin, Nikita S Kuksin, Nikita Sergeevich Kuksin, Куксин Н. С., Н. С. Куксин
ORCID: 0009-0005-9106-0117
Observed ORCID: 0009-0005-9106-0117
OpenAlex ID: A5092463767
Interpretable machine learning for in-hospital mortality risk prediction in patients with ST-elevation myocardial infarction after percutaneous coronary interventions
2024 · Karina Iosephovna Shakhgeldyan, Nikita Sergeevich Kuksin, et al. · Computers in Biology and Medicine · 33
Prediction of Hospital Mortality in Patients with ST Segment Elevation Myocardial Infarction: Evolution of Risk Measurement Techniques and Assessment of Their Effectiveness (Review)
2024 · B.I. Geltser, I.G. Domzhalov, et al. · Современные технологии в медицине · 7
Performance of the Models Predicting In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction with Predictors in Categorical and Continuous Forms
2024 · K.I. Shakhgeldyan, N.S. Kuksin, et al. · Современные технологии в медицине · 6
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Efficiency of prognostic scores in predicting the new-onset atrial fibrillation in patients with ST-elevation myocardial infarction after percutaneous coronary intervention
2024 · R. L. Pak, B. I. Geltser, et al. · Russian Journal of Cardiology · 4
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Methods of Prognostic Analysis for the Prediction of In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction after Percutaneous Coronary Interventions
2024 · K. J. Shakhgeldyan, N. S. Kuksin, et al. · Pattern Recognition and Image Analysis · 4
Prediction of in-hospital mortality in patients with ST-segment elevation acute myocardial infarction after percutaneous coronary intervention
2023 · B. I. Geltser, K. I. Shahgeldyan, et al. · Russian Journal of Cardiology · 4
Interpretable machine learning models as an instrument for explaining predictive assessments in cardiology
2025 · Karina I. Shakhgeldyan, Vladislav U. Rublev, et al. · The Bulletin of Contemporary Clinical Medicine · 3
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Complete blood count parameters as prognostic factor of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention
2025 · Regina L. Pak, Boris I. Geltser, et al. · The Bulletin of Contemporary Clinical Medicine · 2
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Comparative Analysis of the Effectiveness of Riskometer Scales in Predicting the Risk of in-Hospital Mortality in Patients With ST-Segment Elevation Myocardial Infarction After Percutaneous Coronary Intervention
2024 · B. I. Geltser, K. I. Shahgeldyan, et al. · Kardiologiia · 2
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Decision Tree Modification Based on Multi-level Data Categorization
2024 · Karina I. Shakhgeldyan, Nikita S. Kuksin, et al. · Lecture notes in networks and systems · 2
Parameters of complete blood count and coronary lesions in predicting inhospital mortality in patients with acute ST-segment elevation myocardial infarction after percutaneous coronary intervention
2023 · B. I. Geltser, K. I. Shahgeldyan, et al. · Russian Journal of Cardiology · 2
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An Interpretable Predictive Model of In-Hospital Mortality in Patients with Myocardial Infarction Based on Risk Factor Phenotypes
2025 · Karina I. Shakhgeldyan, Gleb V. Grenkin, et al. · Lecture notes in networks and systems · 1
Multilevel predictors categorization for post-CABG atrial fibrillation prediction
2025 · Karina I Shakhgeldyan, Vladislav Y Rublev, et al. · Biology Methods and Protocols · 1
Predictive value of electrocardiographic, echocardiographic and hematological parameters for predicting new‑onset atrial fibrillation in patients with ST‑segment elevation myocardial infarction after percutaneous coronary intervention
2025 · B. I. Geltser, K. I. Shahgeldyan, et al. · Russian Journal of Cardiology · 1
Random forest of risk factors as a predictive tool for adverse events in clinical medicine
2025 · Karina I. Shakhgeldyan, Nikita S. Kuksin, et al. · Computer Research and Modeling · 1
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Multilevel Categorization of Continuous Variables in the Tasks of Explaining Predictive Estimates of Machine Learning Models in Clinical Medicine
2023 · K.I. SHAKHGELDYAN, B.I. GELTSER, et al. · Vrach i informacionnye tehnologii · 1
Phenotyping of Risk Factors for Adverse Events: New Methods for Explaining Prognostic Estimates in Cardiology
2026 · Karina I. Shakhgeldyan, Gleb V. Grenkin, et al. · Applied Artificial Intelligence
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Prediction of acute occlusive coronary artery lesion in a contemporary cohort of patients with non-ST-elevation acute coronary syndrome using machine learning
2026 · V. V. Ryabov, A, K. Nesova, et al. · Russian Journal of Cardiology
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Prediction of new-onset atrial fibrillation in patients with ST - segment elevation myocardial infarction after percutaneous coronary intervention based on preprocedural and intraprocedural predictors
2026 · Regina L. Pak, Boris I. Geltser, et al. · The Bulletin of Contemporary Clinical Medicine
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Intelligent Service for Predicting Adverse Events in Cardiology Based on an Ensemble of Risk Factors
2025 · Karina Shakhgeldyan, Nikita Kuksin, et al. · Lecture notes in networks and systems
Анализ предиктивной ценности электрокардиографических, эхокардиографических и гематологических показателей для прогнозирования "новой" фибрилляции предсердий у больных инфарктом миокарда с подъемом сегмента ST после чрескожного коронарного вмешательства
2025 · Гельцер Б. И., Шахгельдян К. И., et al. · Russian Journal of Cardiology
Predicting Atrial Fibrillation in Patients with Ischemic Heart Disease Based on Multilevel Categorization
2024 · Karina I. Shakhgeldyan, Boris I. Geltser, et al. · Lecture notes in networks and systems
Works count: 26
Citation count: 74
H-index: 4
I10-index: 1
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