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Oleg G. Metsker
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2020 – today
- 2024
- [c31]German Gebel, Oleg G. Metsker, Alexey N. Fedorenko, Alexey N. Yakovlev, Nadezhda E. Zvartau, Georgy D. Kopanitsa:
Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data. pHealth 2024: 42-46 - [c30]Georgy D. Kopanitsa, Oleg G. Metsker:
Unraveling Endometrial Cancer Survival Predictors Through Advanced Machine Learning Techniques. pHealth 2024: 127-131 - 2022
- [c29]Aleksandr Gerasimov, Egor Trofimov, Georgy D. Kopanitsa, Oleg G. Metsker:
Modelling Investment Programs with Machine Learning and Data Mining: Descriptive and Predictive Models of Healthcare State Programs in Russia. FRUCT 2022: 1-6 - [c28]Elizaveta Dubasova, Artem Berdashkevich, Georgy D. Kopanitsa, Pavel Kashlikov, Oleg G. Metsker:
Social Network Users Profiling Using Machine Learning for Information Security Tasks. FRUCT 2022: 87-92 - 2021
- [c27]Oleg G. Metsker, Georgy D. Kopanitsa:
Influence of Healthcare Organization Factors on Cardiovascular Diseases Mortality. EFMI-STC 2021: 149-152 - [c26]David Paskoshev, Georgy D. Kopanitsa, Egor Trofimov, Oleg G. Metsker:
Simulation of a Judicial Process Using Machine Learning to Analyze Administrative Prejudice and Indicate the Quality of Justice. FRUCT 2021: 165-170 - [c25]Oleg G. Metsker, Egor Trofimov
, Georgy D. Kopanitsa:
Application of Machine Learning Metrics for Dynamic E-justice Processes. FRUCT 2021: 293-300 - [c24]Oleg G. Metsker, Georgy D. Kopanitsa, Olga Irtyuga, Vladimir Uspenskiy:
Dynamic Aortic Aneurism Risk Factors. pHealth 2021: 130-135 - [c23]Georgy D. Kopanitsa, Oleg G. Metsker, Ekaterina V. Bolgova, Sergey V. Kovalchuk:
Lifestyle Cancer Survival Predictors: Influence of Vegetarian Diet on the Relapse of Endometrial Cancer. pHealth 2021: 193-198 - [c22]Egor Trofimov, Oleg G. Metsker, Georgy D. Kopanitsa, David Pashoshev:
Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia. pHealth 2021: 259-264 - 2020
- [j4]Katerina V. Bolgova, Sergey V. Kovalchuk
Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement. Int. J. E Health Medical Commun. 11(1): 93-106 (2020) - [j3]Oleg G. Metsker, Kirill Magoev, Alexey N. Yakovlev, Stanislav Yanishevskiy, Georgy D. Kopanitsa
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. BMC Medical Informatics Decis. Mak. 20(1): 201 (2020) - [c21]Oleg G. Metsker, Vozniuk Igor
Stroke ICU Patient Mortality Day Prediction. ICCS (4) 2020: 390-405 - [c20]Tesfamariam M. Abuhay
Constructing Holistic Patient Flow Simulation Using System Approach. ICCS (4) 2020: 418-429 - [c19]Tesfamariam M. Abuhay
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. ICCS (4) 2020: 430-440 - [c18]Oleg G. Metsker, Kirill Magoev, Stanislav Yanishevskiy, Alexey N. Yakovlev, Georgy D. Kopanitsa:
Risk Factors for Chronic Diabetes Patients. MIE 2020: 1379-1380 - [c17]Oleg G. Metsker, Georgy D. Kopanitsa, Eduard Komlichenko
Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning. pHealth 2020: 104-108 - [c16]Oleg G. Metsker, Georgy D. Kopanitsa, Ekaterina V. Bolgova:
Prediction of Childbirth Mortality Using Machine Learning. pHealth 2020: 109-114 - [c15]Oleg G. Metsker, Kirill Magoev, Stanislav Yanishevskiy, Alexey N. Yakovlev, Georgy D. Kopanitsa, Nadezhda Zvartau:
Identification of Diabetes Risk Factors in Chronic Cardiovascular Patients. pHealth 2020: 136-141 - [c14]Oleg G. Metsker, Georgy D. Kopanitsa, Alexey N. Yakovlev, Karlina Veronika
Survival Analysis of COVID-19 Patients in Russia Using Machine Learning. pHealth 2020: 223-227 - [c13]Georgy D. Kopanitsa, Oleg G. Metsker, Alexey N. Yakovlev, Alexey N. Fedorenko, Nadezhda Zvartau:
Modelling of COVID-19 Morbidity in Russia. pHealth 2020: 262-265 - [i3]Tesfamariam M. Abuhay, Yemisrach G. Getinet, Oleg G. Metsker, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. CoRR abs/2004.09290 (2020)
2010 – 2019
- 2019
- [c12]Oleg G. Metsker, Egor Trofimov
Natural Language Processing of Russian Court Decisions for Digital Indicators Mapping for Oversight Process Control Efficiency: Disobeying a Police Officer Case. EGOSE 2019: 295-307 - [c11]Oleg G. Metsker
Modelling and Analysis of Complex Patient-Treatment Process Using GraphMiner Toolbox. ICCS (5) 2019: 674-680 - [c10]Oleg G. Metsker, Alexey N. Yakovlev, Aleksandr Ilin, Sergey V. Kovalchuk:
Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning. pHealth 2019: 137-142 - [c9]Ilya V. Derevitskii, Anastasia A. Funkner, Oleg G. Metsker, Sergey V. Kovalchuk:
Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study. pHealth 2019: 150-155 - [c8]Ksenia Balabaeva
Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling. pHealth 2019: 179-184 - 2018
- [j2]Sergey V. Kovalchuk
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. Complex. 2018: 5870987:1-5870987:15 (2018) - [j1]Sergey V. Kovalchuk
Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification. J. Biomed. Informatics 82: 128-142 (2018) - [c7]Oleg G. Metsker
Identification of Pathophysiological Subclinical Variances During Complex Treatment Process of Cardiovascular Patients. CENTERIS/ProjMAN/HCist 2018: 161-168 - [c6]Marina A. Balakhontceva, Anastasia A. Funkner, Anna A. Semakova
Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making. CENTERIS/ProjMAN/HCist 2018: 228-237 - [c5]Oleg G. Metsker
Text and Data Mining Techniques in Judgment Open Data Analysis for Administrative Practice Control. EGOSE 2018: 169-180 - [c4]Sergey V. Kovalchuk, Oleg G. Metsker
Towards management of complex modeling through a hybrid evolutionary identification. GECCO (Companion) 2018: 255-256 - [c3]Sergey A. Sikorskiy, Oleg G. Metsker
Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases. ICCS (3) 2018: 818-824 - [c2]Oleg G. Metsker
Holistic Monitoring and Analysis of Healthcare Processes Through Public Internet Data Collection. INSCI Workshops 2018: 42-50 - [i2]Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina:
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. CoRR abs/1809.04656 (2018) - 2017
- [c1]Ekaterina V. Bolgova, Nadezhda E. Zvartau, Sergey V. Kovalchuk, Marina A. Balakhontceva, Oleg G. Metsker
Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems. CENTERIS/ProjMAN/HCist 2017: 469-474 - [i1]Sergey V. Kovalchuk, Anastasia A. Funkner, Oleg G. Metsker, Aleksey N. Yakovlev:
Simulation of Patients Flow in Multiple Healthcare Units using Process and Data Mining Techniques for Model Identification. CoRR abs/1702.07733 (2017)
Coauthor Index
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last updated on 2024-10-17 20:27 CEST by the dblp team
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