Soma G., Kopanitsa G. Development of models for managing the population mass service system in a bank. E3S Web of Conferences. 2024. Vol. 474. pp. 02006.
Guedes S., Kopanitsa G. Development of an emotion and age recognition model based on the combination of local binary patterns and squeeze-and-excitation block method. Proceedings of SPIE. 2024. Vol. 13217. pp. 132170I.
Kopanitsa G., Metsker O., Kovalchuk S. Machine Learning Methods for Pregnancy and Childbirth Risk Management. Journal of Personalized Medicine. 2023. Vol. 13. No. 6. pp. 975.
Soma G.M., Kopanitsa G.D. System for customers’ routing based on their emotional state and age in public services systems. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Vol. 23. No. 5(147). pp. 1009-1020.
Kopanitsa G., Kovalchuk S. Study of the User Behaviour Caused by Automatic Recommendation Systems Call to Action. Studies in health technology and informatics. 2022. Vol. 299. pp. 89-96.
Skiba I., Kopanitsa G., Metsker O., Yanishevskiy S., Polushin A. Application of Machine Learning Methods for Epilepsy Risk Ranking in Patients with Hematopoietic Malignancies Using. Journal of Personalized Medicine. 2022. Vol. 12. No. 8. pp. 1306.
Irtyuga O., Kopanitsa G., Kostareva A., Metsker O., Uspensky V., Gordeev M., Faggian G., Sefieva G., Derevitskii I., Malashicheva A., Shlyakhto E. Application of Machine Learning Methods to Analyze Occurrence and Clinical Features of Ascending Aortic Dilatation in Patients with and without Bicuspid Aortic Valve. Journal of Personalized Medicine. 2022. Vol. 12. No. 5. pp. 794.
Kovalchuk S.V., Kopanitsa G.D., Derevitskii I., Matveev G.A., Savitskaya D.A. Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability. Journal of Biomedical Informatics. 2022. Vol. 127. pp. 104013.
Gerasimov A., Trofimov E., Kopanitsa G., Metsker O. Modelling Investment Programs with Machine Learning and Data Mining: Descriptive and Predictive Models of Healthcare State Programs in Russia. Proceedings of the 31st Conference of Open Innovations Association FRUCT. 2022. pp. 45-50.
Dubasova E., Berdashkevich A., Kopanitsa G., Kashlikov P., Metsker O. Social Network Users Profiling Using Machine Learning for Information Security Tasks. Proceedings of the 32nd Conference of Open Innovations Association FRUCT. 2022. pp. 87-92.
Kopanitsa G. Study of patients' attitude to automatic interpretation of laboratory test results and its influence on follow-up rate. BMC Medical Informatics and Decision Making. 2022. Vol. 22. No. 1. pp. 79.
Lenivtceva I., Panfilov D., Kopanitsa G., Kozlov B. Aortic Risks Prediction Models after Cardiac Surgeries Using Integrated Data. Journal of Personalized Medicine. 2022. Vol. 12. No. 4. pp. 637.
Kopanitsa G.D., Metsker O., Paskoshev D., Greschischeva S. Identification of Risk Factors and Prediction of Sepsis in Pregnancy Using Machine Learning Methods. Procedia Computer Science. 2021. Vol. 193. pp. 393-401.
Ленивцева Ю.Д., Копаница Г.Д. Автоматическое определение типа аллергии из неструктурированных медицинских текстов на русском языке [Automatic allergy classification based on russian unstructured medical texts]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2021. Т. 21. № 3(133). С. 433-436.
Metsker O., Trofimov E., Kopanitsa G. Application of machine learning metrics for dynamic E-justice processes. Proceedings of the 28th Conference of Open Innovations Association FRUCT. 2021. pp. 9347598.
Metsker O., Kopanitsa G.D. Influence of Healthcare Organization Factors on Cardiovascular Diseases Mortality. Studies in health technology and informatics. 2021. Vol. 287. pp. 149-152.
Metsker O., Kopanitsa G.D., Malushko A., Komlichenko E., Bolgova K.V., Paskoshev D. Gynecological Surgery and Machine Learning: Complications and Length of Stay Prediction. Studies in health technology and informatics. 2021. Vol. 281. pp. 575-579.
Metsker O., Kopanitsa G.D., Irtyuga O., Uspenskiy V. Dynamic aortic aneurism risk factors. Studies in health technology and informatics. 2021. Vol. 285. pp. 130-135.
Grechishcheva S., Lenivtceva I., Kopanitsa G., Panfilov D. Filtering free-text medical data based on machine learning. Procedia Computer Science. 2021. Vol. 193. pp. 82-91.
Lenivtceva I.D., Grechishcheva S., Kopanitsa G.D., Panfilov D., Kozlov B. Predicting the aortic aneurysm postoperative risks based on Russian integrated data. Studies in health technology and informatics. 2021. Vol. 285. pp. 88-93.
Ленивцева Ю.Д., Копаница Г.Д. Определение типа аллергии на основании неструктурированных медицинских записей. Врач и информационные технологии. 2021. № 1. С. 18-24.
Ленивцева Ю.Д., Копаница Г.Д. Метод сопоставления форматов обмена медицинскими данными и терминологий. Врач и информационные технологии. 2021. № 1. С. 75-83.
Metsker O., Trofimov E., Kopanitsa G. Application of machine learning for E-justice. Journal of Physics: Conference Series. 2021. Vol. 1828. No. 1. pp. 012006.
Trofimov E., Metsker O., Kopanitsa G.D., Pashoshev D. Regulation modelling and analysis using machine learning during the Covid-19 pandemic in Russia. Studies in health technology and informatics. 2021. Vol. 285. pp. 259-264.
Paskoshev D., Kopanitsa G.D., Trofimov E., Metsker O. Simulation of a Judicial Process Using Machine Learning to Analyze Administrative Prejudice and Indicate the Quality of Justice. Proceedings of the 30th Conference of Open Innovations Association FRUCT. 2021. pp. 165-170.
Kopanitsa G.D., Derevitckii I.V., Savitskaya D.A., Kovalchuk S. Assessing acceptance level of a hybrid clinical decision support systems. Studies in health technology and informatics. 2021. Vol. 287. pp. 18-22.
Lenivtceva I.D., Kopanitsa G.D. The Pipeline for Standardizing Russian Unstructured Allergy Anamnesis Using FHIR AllergyIntolerance Resource. Methods of Information in Medicine. 2021. Vol. 60. No. 3-4. pp. 95-103.
Kopanitsa G.D., Metsker O., Bolgova E.V., Kovalchuk S. Lifestyle cancer survival predictors: Influence of vegetarian diet on the relapse of endometrial cancer. Studies in health technology and informatics. 2021. Vol. 285. pp. 193-198.
Behar J., Liu C., Kotzen K., Tsutsui K., Corino V.D., Singh J., Pimentel M.A., Warrick P., Zaunseder S., Andreotti F., Sebag D., Kopanitsa G., Mcsharry P.E., Karlen W., Karmakar C., Clifford G. Remote health diagnosis and monitoring in the time of COVID-19. Physiological Measurement. 2020. Vol. 41. No. 10. pp. 10TR01.
Dudchenko A., Ganzinger M., Kopanitsa G.D. Machine learning algorithms in cardiology domain: A systematic review. Open Bioinformatics Journal. 2020. Vol. 13. No. 1. pp. 25-40.
Metsker O., Kopanitsa G.D., Yakovlev A., Karlina V., Zvartau N.E. Survival analysis of COVID-19 patients in russia using machine learning. Studies in health technology and informatics. 2020. Vol. 273. pp. 223-227.
Kopanitsa G.D., Metsker O.G., Yakovlev A., Fedorenko A., Zvartau N.E. Modelling of COVID-19 morbidity in russia. Studies in health technology and informatics. 2020. Vol. 273. pp. 262-265.
Metsker O., Efimov E., Trofimov E., Kopanitsa G.D., Bolgova E.V., Yakovlev A. Performance Improvement Algorithms in Big Data Analysis. Procedia Computer Science. 2020. Vol. 178. pp. 386-393.
Kopanitsa G.D. Follow-up on the abnormal laboratory test results with automatic interpretation. Studies in health technology and informatics. 2020. Vol. 273. pp. 240-245.
Metsker O., Kopanitsa G.D., Komlichenko E., Yanushanets M., Bolgova E.V. Prediction of a due date based on the pregnancy history data using machine learning. Studies in health technology and informatics. 2020. Vol. 273. pp. 104-108.
Semenov I., Osenev R., Gerasimov S., Kopanitsa G.D., Denisov D., Andreychuk Y. Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support. International Journal of Environmental Research and Public Health. 2020. Vol. 17. No. 1. pp. 73.
ТЕХНОЛОГИИ ПРЕДСКАЗАТЕЛЬНОГО МОДЕЛИРОВАНИЯ ПРОЦЕССОВ ЗДРАВООХРАНЕНИЯ. ТРЕБОВАНИЯ К МОДЕЛИРОВАНИЮ ЭТАПОВ И СТРУКТУРАМ ДАННЫХ ДЛЯ ОПИСАНИЯ КЛИНИЧЕСКИХ ТРАЕКТОРИЙ
Metsker O., Vozniuk I., Kopanitsa G.D., Morozova E., Prohorova M. Stroke ICU patient mortality day prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12140 LNCS. pp. 390-405.
Kopanitsa G.D. Automatic Interpretation of Laboratory Tests and Its Influence on Follow-up. Studies in health technology and informatics. 2020. Vol. 270. pp. 916-920.
Lenivtceva I.D., Slasten E.S., Kashina M., Kopanitsa G.D. Applicability of Machine Learning Methods to Multi-label Medical Text Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12140 LNCS. pp. 509-522.
Metsker O., Magoev K., Yanishevskiy S., Yakovlev A., Kopanitsa G.D. Risk Factors for Chronic Diabetes Patients. Studies in health technology and informatics. 2020. Vol. 270. pp. 1379-1380.
Metsker O., Magoev K., Yakovlev A., Yanishevskiy S., Kopanitsa G., Kovalchuk S., Krzhizhanovskaya V.V. Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. BMC Medical Informatics and Decision Making. 2020. Vol. 20. No. 1. pp. 201.
Metsker O., Kopanitsa G.D., Bolgova E.V. Prediction of childbirth mortality using machine learning. Studies in health technology and informatics. 2020. Vol. 273. pp. 109-114.
Metsker O., Magoev K., Yanishevskiy S., Yakovlev A., Kopanitsa G.D., Zvartau N.E. Identification of diabetes risk factors in chronic cardiovascular patients. Studies in health technology and informatics. 2020. Vol. 273. pp. 136-141.
Kashina M., Lenivtceva I.D., Kopanitsa G.D. Preprocessing of unstructured medical data: the impact of each preprocessing stage on classification. Procedia Computer Science. 2020. Vol. 178. pp. 284-290.
Lenivtceva I.D., Kashina M., Kopanitsa G.D. Category of Allergy Identification from Free-Text Medical Records for Data Interoperability. Studies in health technology and informatics. 2020. Vol. 273. pp. 170-175.
Lenivtseva Y.D., Kopanitsa G.D. Investigation of Content Overlap in Proprietary Medical Mappings. Studies in health technology and informatics. 2019. Vol. 258. pp. 41-45.
Dudchenko P., Dudchenko A., Kopanitsa G.D. Heart Disease Dataset Clusterization. Studies in health technology and informatics. 2019. Vol. 261. pp. 162-167.
Dudchenko A., Dudchenko P., Ganzinger M., Kopanitsa G.D. Extraction from Medical Records. Studies in health technology and informatics. 2019. Vol. 261. pp. 62-67.
Dudchenko A., Kopanitsa G.D. Comparison of word embeddings for extraction from medical records. International Journal of Environmental Research and Public Health. 2019. Vol. 16. No. 22. pp. 4360.
Bobrova M., Taranik M.A., Kopanitsa G.D. Using Neural Networks for Diagnosing in Dermatology. Studies in health technology and informatics. 2019. Vol. 261. pp. 211-216.
Dudchenko A., Ganzinger M., Kopanitsa G.D. Optimization of Clinical Decision Support Based on Pearson Correlation of Attributes. Studies in health technology and informatics. 2019. Vol. 261. pp. 199-204.
Lenivtceva I.D., Kopanitsa G.D. Evaluating Manual Mappings of Russian Proprietary Formats and Terminologies to FHIR. Methods of Information in Medicine. 2019. Vol. 58. No. 4-5. pp. 151-159.
Dudchenko A., Ganzinger M., Kopanitsa G.D. Diagnoses Detection in Short Snippets of Narrative Medical Texts. Procedia Computer Science. 2019. Vol. 156. pp. 150-157.
Taranik M., Kopanitsa G.D. Using Machine Learning for Personalized Patient Adherence Level Determination. Studies in health technology and informatics. 2019. Vol. 261. pp. 174-178.
Kopanitsa G.D. Microservice Architecture to Provide Medical Data Management for Decision Support. Studies in health technology and informatics. 2019. Vol. 261. pp. 230-235.
Dudchenko A., Kopanitsa G.D., Knaup P., Ganzinger M. A Predictive Model for Patient Similarity: Classes Based on Secondary Data and Simple Measurements as Predictors. Studies in health technology and informatics. 2018. Vol. 249. pp. 167-172.
Dudchenko A., Kopanitsa G. Decision support systems in cardiology: A systematic review. Studies in health technology and informatics. 2017. Vol. 237. pp. 209-214.
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