Alexander Potapov

According to our database, Alexander Potapov authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.

Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Valeriy Danilov, Alexander Potapov

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms.

Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulya Strunina, Tatiana Pronkina, Tatyana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Universal Approach for DEM Parameters Calibration of Bulk Materials.

Aleksei Boikov, Roman Savelev, Vladimir Payor, Alexander Potapov

Symmetry, 2021

Predicting the Increase in Postoperative Motor Deficits in Patients with Supratentorial Gliomas Using Machine Learning Methods.

Alexandra Kosyrkova, Eugene Ilyushin, Daniel Saada, Ramin Afandiev, Alexander Baev, Eudard Pogosbekyan, Vladimir Okhlopkov, Gleb Danilov, Artem Batalov, Igor Pronin, Natalia Zakharova, Anna Ogurtsova, Alexander Kravchuck, David Pitskhelauri, Alexander Potapov, Sergey Goryaynov

Proceedings of the Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains, 2021

Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches.

Gleb Danilov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov

Proceedings of the Public Health and Informatics, 2021

The Classification of Short Scientific Texts Using Pretrained BERT Model.

Gleb Danilov, Timur Ishankulov, Konstantin Kotik, Yuriy Orlov, Michael A. Shifrin, Alexander Potapov

Proceedings of the Public Health and Informatics, 2021

The Classification of Scientific Abstracts Using Text Statistical Features.

Timur Ishankulov, Gleb Danilov, Konstantin Kotik, Yuriy Orlov, Mikhail Shifrin, Alexander Potapov

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Noninvasive Glioma Grading with Deep Learning: A Pilot Study.

Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, Ramin Afandiev, Alexander Shevchenko, Tatyana Konakova, Tatyana Tsukanova, Svetlana Shugay, Igor Pronin, Alexander Potapov

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations.

Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael A. Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

A Comparison of Word Embeddings to Study Complications in Neurosurgery.

Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Yuliya Strunina, Tatyana Pronkina, Tatyana Tsukanova, Timur Ishankulov, Maria Shults, Elizaveta Makashova, Yaroslav Latyshev, Rinat Sufianov, Oleg Sharipov, Anton Nazarenko, Nikolay Konovalov, Alexander Potapov

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling.

Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery.

Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin, Elizaveta Makashova, Igor Pronin, Nikolay Konovalov, Alexander Potapov

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

2020

Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.

Gleb Danilov, Michael A. Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova, Tatiana Pronkina, Timur Ishankulov, Elizaveta Makashova, Alexandra Kosyrkova, Alexander Potapov

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports.

Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language.

Gleb Danilov, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery.

Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems.

Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019