T. E. Pronkina

According to our database, T. E. Pronkina authored at least 8 papers between 1999 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

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

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

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

1999

Professional Knowledge as the Basis of Electronic Patient Record Systems.

T. E. Pronkina, Michael A. Shifrin

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999