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 (pHealth, 2019)

The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. - Ilya V. Derevitskii; Daria A. Savitskaya; Alina Y. Babenko; Sergey V. Kovalchuk (ICCS (4), 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 (ICCS (1), 2020)

Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. - Ilia V. Derevitskii; Sergey V. Kovalchuk (pHealth, 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)

Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems. - Georgy D. Kopanitsa; Ilia V. Derevitskii; Daria A. Savitskaya; Sergey V. Kovalchuk (EFMI-STC, 2021)

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. - Vladislav V. Pavlovskii; Ilia V. Derevitskii; Sergey V. Kovalchuk (ICCS (3), 2021)

Predictive Modeling of COVID and non-COVID Pneumonia Trajectories. - Nikita Mramorov; Ilya V. Derevitskii; Sergei Kovalchuk (pHealth, 2021)

Hybrid predictive modelling: Thyrotoxic atrial fibrillation case. - Ilya V. Derevitskii; Daria A. Savitskaya; Alina Y. Babenko; Sergey V. Kovalchuk (J. Comput. Sci., 2021)

Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case. - Simon D. Usoltsev; Ilia V. Derevitskii (ICCS (3), 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 genetic predictive modeling for finding optimal multipurpose multicomponent therapy. - Vladislav V. Pavlovskii; Ilia V. Derevitskii; Sergey V. Kovalchuk (J. Comput. Sci., 2022)

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 (ICCS (4), 2024)

Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks. - Sofiia Vdovkina; Ilya V. Derevitskii; Levon Abramyan; Aleksandra Vatian (ICCS (4), 2024)