Научные руководители
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Копаница Георгий ДмитриевичPhD, науки kopanitsa@itmo.ru Структурное подразделение: национальный центр когнитивных разработок Должность: ведущий научный сотрудник Профиль: 05.13.11 - Математическое и программное обеспечение вычислительных машин, комплексов и компьютерных сетей Область интересов: Теории анализа и синтеза интеллектуальных медицинских информационных систем Моделирование и проектирование интеллектуальных медицинских информационных систем Семантическое моделирование систем Алгоритмы синтеза модели требований и модели классов на основе процессной модели Модальные формализмы и нецелеориентированные стратегии вывода. Рабочий язык: Английский, Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| Dudchenko P., Dudchenko A., Kopanitsa G.D. Heart Disease Dataset Clusterization//Studies in health technology and informatics, 2019, Vol. 261, pp. 162-167 | 2019 | Scopus, Web of Science |