Копаница Георгий Дмитриевич Доцент факультета цифровых трансформаций Персоналия университета ИТМО Перейти к содержимому страницы.

Копаница Георгий Дмитриевич EnEnglish

Служебные обязанности

  • Научно-исследовательская деятельность
  • Преподавательская деятельность
  • Курирование студенческих ВКР

Образование

2008 г. – Томский политехнический университет, магистратура, искусственный интеллект, оптимизация бизнес-процессов с использованием методов искусственного интеллекта.

2011 г. – Томский политехнический университет, PhD, математические модели поддержки принятия решений в здравоохранении.

2013 г. – Мюнхенский университет имени Людвига и Максимилиана, PhD, медицинский факультет.

Профессиональная деятельность

С 2019 г. – Университет ИТМО, национальный центр когнитивных разработок, ведущий научный сотрудник.

2013 – 2014 гг. – Мюнхенский университет имени Людвига и Максимилиана, приглашенный профессор.

2008 – 2019 гг. – Томский политехнический университет, ассистент, ассистент профессора, профессор.

Профессиональные интересы

Медицинская информатика, нейронные сети, поддержка принятия клинических решений, семантическая интероперабельность.

Публикации

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

Ленивцева Ю.Д., Копаница Г.Д.

Метод сопоставления форматов обмена медицинскими данными и терминологий // Врач и информационные технологии -2021. - № 1. - С. 75-83 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

Ленивцева Ю.Д., Копаница Г.Д.

Определение типа аллергии на основании неструктурированных медицинских записей // Врач и информационные технологии -2021. - № 1. - С. 18-24 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

Копаница Г.Д.

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

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 Подробнее

Dudchenko P., Dudchenko A., Kopanitsa G.D.

Heart Disease Dataset Clusterization//Studies in health technology and informatics, 2019, Vol. 261, pp. 162-167 Подробнее

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 Подробнее

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 Подробнее

Dudchenko A., Kopanitsa G.

Decision support systems in cardiology: A systematic review//Studies in health technology and informatics, 2017, Vol. 237, pp. 209-214 Подробнее