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ORCIDIlya V. Derevitskii
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2020 – today
- 2024
[c10]Sofiia Vdovkina
, Ilya V. Derevitskii, Levon Abramyan, Aleksandra Vatian:
Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks. ICCS (4) 2024: 371-378- [c9]Sergei Leontev, Maria Simakova, Vitaly Lukinov, Konstantin Pishchulov, Ilya V. Derevitskii, Levon Abramyan, Alexandra Vatian:
Development of a VTE Prediction Model Based on Automatically Selected Features in Glioma Patients. ICCS (4) 2024: 387-395 - 2022
- [j3]Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilia V. Derevitskii, Georgy A. Matveev, Daria A. Savitskaya:
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. J. Biomed. Informatics 127: 104013 (2022) - [j2]Vladislav V. Pavlovskii, Ilia V. Derevitskii, Sergey V. Kovalchuk:
Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy. J. Comput. Sci. 63: 101772 (2022) - [c8]Simon D. Usoltsev, Ilia V. Derevitskii:
Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case. ICCS (3) 2022: 106-112 - 2021
- [j1]Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
Hybrid predictive modelling: Thyrotoxic atrial fibrillation case. J. Comput. Sci. 51: 101365 (2021) - [c7]Georgy D. Kopanitsa, Ilia V. Derevitskii, Daria A. Savitskaya, Sergey V. Kovalchuk:
Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems. EFMI-STC 2021: 18-22 - [c6]Vladislav V. Pavlovskii, Ilia V. Derevitskii, Sergey V. Kovalchuk:
Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. ICCS (3) 2021: 479-493 - [c5]Nikita Mramorov, Ilya V. Derevitskii, Sergei Kovalchuk:
Predictive Modeling of COVID and non-COVID Pneumonia Trajectories. pHealth 2021: 112-117 - 2020
- [c4]Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. ICCS (4) 2020: 495-508 - [c3]Sergey V. Kovalchuk, Anastasia A. Funkner, Ksenia Y. Balabaeva, Ilya V. Derevitskii, Vladimir V. Fonin, Nikita V. Bukhanov:
Towards Modeling of Information Processing Within Business-Processes of Service-Providing Organizations. ICCS (1) 2020: 667-675 - [c2]Ilia V. Derevitskii, Sergey V. Kovalchuk:
Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients. pHealth 2020: 123-128 - [i2]Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. CoRR abs/2002.12632 (2020) - [i1]Sergey V. Kovalchuk, Georgy D. Kopanitsa, Ilya V. Derevitskii, Daria A. Savitskaya:
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. CoRR abs/2007.12870 (2020)
2010 – 2019
- 2019
- [c1]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
Coauthor Index
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