Uliya Strunina

According to our database, Uliya Strunina authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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

The Prediction of Functional Outcome After Microsurgical Treatment of Unruptured Intracranial Aneurysm Based on Machine Learning.

Timur Ishankulov, Fyodor Grebenev, Uliya Strunina, Oleg Shekhtman, Shalva Eliava, Gleb Danilov

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 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

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

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