Ilya V. Derevitskii

According to our database, Ilya V. Derevitskii authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks.

Sofiia Vdovkina, Ilya V. Derevitskii, Levon Abramyan, Aleksandra Vatian

Proceedings of the Computational Science - ICCS 2024, 2024

Development of a VTE Prediction Model Based on Automatically Selected Features in Glioma Patients.

Sergei Leontev, Maria Simakova, Vitaly Lukinov, Konstantin Pishchulov, Ilya V. Derevitskii, Levon Abramyan, Alexandra Vatian

Proceedings of the Computational Science - ICCS 2024, 2024

2022

Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy.

Vladislav V. Pavlovskii, Ilia V. Derevitskii, Sergey V. Kovalchuk

J. Comput. Sci., 2022

Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability.

Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilia V. Derevitskii, Georgy A. Matveev, Daria A. Savitskaya

J. Biomed. Informatics, 2022

Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case.

Simon D. Usoltsev, Ilia V. Derevitskii

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Hybrid predictive modelling: Thyrotoxic atrial fibrillation case.

Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk

J. Comput. Sci., 2021

Predictive Modeling of COVID and non-COVID Pneumonia Trajectories.

Nikita Mramorov, Ilya V. Derevitskii, Sergei Kovalchuk

Proceedings of the pHealth 2021 - Proceedings of the 18th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2021

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy.

Vladislav V. Pavlovskii, Ilia V. Derevitskii, Sergey V. Kovalchuk

Proceedings of the Computational Science - ICCS 2021, 2021

Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems.

Georgy D. Kopanitsa, Ilia V. Derevitskii, Daria A. Savitskaya, Sergey V. Kovalchuk

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

2020

Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability.

Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilya V. Derevitskii, Daria A. Savitskaya

CoRR, 2020

Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients.

Ilia V. Derevitskii, Sergey V. Kovalchuk

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

Towards Modeling of Information Processing Within Business-Processes of Service-Providing Organizations.

Sergey V. Kovalchuk, Anastasia A. Funkner, Ksenia Y. Balabaeva, Ilya V. Derevitskii, Vladimir V. Fonin, Nikita V. Bukhanov

Proceedings of the Computational Science - ICCS 2020, 2020

The Atrial Fibrillation Risk Score for Hyperthyroidism Patients.

Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study.

Ilya V. Derevitskii, Anastasia A. Funkner, Oleg G. Metsker, Sergey V. Kovalchuk

Proceedings of the pHealth 2019 - Proceedings of the 16th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2019