Named entity recognition in medical texts in Russian using deep learning models

Igor Viktorovich Moskalev¹, Luybov\’ Anatol\’evna Khvorova^2
1ASU, Barnaul, Russia, moskalev.igor.v@gmail.com
²ASU, Barnaul, Russia, khvorovala@gmail.com

The application of contextual and domain-specific pre-trained word embeddings for recognition of medical concepts in free-text clinical notes in Russian is considered. As it is known, a large amount of medical data is stored in electronic form, a significant part – in an unstructured form (medical history, extracts, description of the results of various tests). This data contains a large amount of useful information for the diagnosis of diseases. The results of the experiments showed the effectiveness of applying contextual language models which pre-trained on medical texts in the task biomedical named entity recognition.