Nadezhda Zvartau

According to our database, Nadezhda Zvartau authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data.

German Gebel, Oleg G. Metsker, Alexey N. Fedorenko, Alexey N. Yakovlev, Nadezhda E. Zvartau, Georgy D. Kopanitsa

Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2024

2020

Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement.

Katerina V. Bolgova, Sergey V. Kovalchuk, Marina A. Balakhontceva, Nadezhda Zvartau, Oleg G. Metsker

Int. J. E Health Medical Commun., 2020

Identification of Diabetes Risk Factors in Chronic Cardiovascular Patients.

Oleg G. Metsker, Kirill Magoev, Stanislav Yanishevskiy, Alexey N. Yakovlev, Georgy D. Kopanitsa, Nadezhda Zvartau

Proceedings of the pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2020

Survival Analysis of COVID-19 Patients in Russia Using Machine Learning.

Oleg G. Metsker, Georgy D. Kopanitsa, Alexey N. Yakovlev, Karlina Veronika, Nadezhda Zvartau

Proceedings of the pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2020

Modelling of COVID-19 Morbidity in Russia.

Georgy D. Kopanitsa, Oleg G. Metsker, Alexey N. Yakovlev, Alexey N. Fedorenko, Nadezhda Zvartau

Proceedings of the pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2020

2019

Initial Data-Driven Model for Estimating Impact of Antihypertensive Drug Amount on Blood Pressure Lowering.

Anna Semakova, Nadezhda Zvartau

Proceedings of the 11th Majorov International Conference on Software Engineering and Computer Systems (MICSECS 2019), 2019

2018

Modeling comorbidity relationships for arterial hypertension patients based on Bayesian networks.

Vadim V. Elyutin, Marina A. Balakhontceva, Nadezhda E. Zvartau

Proceedings of the CENTERIS 2018 - International Conference on ENTERprise Information Systems / ProjMAN 2018 - International Conference on Project MANagement / HCist 2018, 2018

Holistic Modeling of Chronic Diseases for Recommendation Elaboration and Decision Making.

Marina A. Balakhontceva, Anastasia A. Funkner, Anna A. Semakova, Oleg G. Metsker, Nadezhda E. Zvartau, Alexey N. Yakovlev, Anna E. Lutsenko, Sergey V. Kovalchuk

Proceedings of the CENTERIS 2018 - International Conference on ENTERprise Information Systems / ProjMAN 2018 - International Conference on Project MANagement / HCist 2018, 2018

2017

Clustering of comorbidities based on conditional probabilities of diseases in hypertensive patients.

Nikita V. Bukhanov, Marina Balakhontceva, Alexey V. Krikunov, Arthur Sabirov, Anna Semakova, Nadezhda Zvartau, Aleksandra O. Konradi

Proceedings of the International Conference on Computational Science, 2017

Multiscale modeling of comorbidity relations in hypertensive outpatients.

Nikita V. Bukhanov, Marina Balakhontceva, Sergey V. Kovalchuk, Nadezhda Zvartau, Aleksandra O. Konradi

Proceedings of the CENTERIS 2017 - International Conference on ENTERprise Information Systems / ProjMAN 2017 - International Conference on Project MANagement / HCist 2017, 2017

Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems.

Ekaterina V. Bolgova, Nadezhda E. Zvartau, Sergey V. Kovalchuk, Marina A. Balakhontceva, Oleg G. Metsker

Proceedings of the CENTERIS 2017 - International Conference on ENTERprise Information Systems / ProjMAN 2017 - International Conference on Project MANagement / HCist 2017, 2017