Professional Knowledge as the Basis of Electronic Patient Record Systems. - T. E. Pronkina; Michael A. Shifrin (MIE, 1999)

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 (EFMI-STC, 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 (ICIMTH, 2019)

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 (MIE, 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 (MIE, 2020)

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; et al. (ICIMTH, 2021)

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 (ICIMTH, 2022)

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 (ICIMTH, 2023)