Tatyana Tsukanova

According to our database, Tatyana Tsukanova authored at least 9 papers between 2020 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

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

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

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

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