91 citations · 103 across the 7 of their papers we have counts for
5 papers · 1 filter
Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making
D. Umerenkov, G. Zubkova, A. Nesterov
Clinical Decision Support Systems (CDSS) utilize evidence-based knowledge and patient data to offer real-time recommendations, with Large Language Models (LLMs) emerging as a promi…
Predicting COVID-19 and pneumonia complications from admission texts
Dmitriy Umerenkov, Oleg Cherkashin, Alexander Nesterov +4
In this paper we present a novel approach to risk assessment for patients hospitalized with pneumonia or COVID-19 based on their admission reports. We applied a Longformer neural n…
RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining
Alexander Yalunin, Alexander Nesterov, Dmitriy Umerenkov
This paper presents several BERT-based models for Russian language biomedical text mining (RuBioBERT, RuBioRoBERTa). The models are pre-trained on a corpus of freely available text…
Abstractive summarization of hospitalisation histories with transformer networks
Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh
In this paper we present a novel approach to abstractive summarization of patient hospitalisation histories. We applied an encoder-decoder framework with Longformer neural network…
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality
Alexander Nesterov, Dmitry Umerenkov
Medical entity extraction (EE) is a standard procedure used as a first stage in medical texts processing. Usually Medical EE is a two-step process: named entity recognition (NER) a…