Výsledky vyhledávání - "Artem Gryaznov"

Akademický článek

Accuracy Analysis of the End-to-End Extraction of Related Named Entities from Russian Drug Review Texts by Modern Approaches Validated on English Biomedical Corpora

Autor: Alexander Sboev, Roman Rybka, Anton Selivanov, Ivan Moloshnikov, Artem Gryaznov, Alexander Naumov, Sanna Sboeva, Gleb Rylkov, Soyora Zakirova

Publikováno v: Mathematics, Vol 11, Iss 2, p 354 (2023)

An extraction of significant information from Internet sources is an important task of pharmacovigilance due to the need for post-clinical drugs monitoring. This research considers the task of end-to-end recognition of pharmaceutically significant na

Externí odkaz: https://doaj.org/article/ebe029668f60475aa64c7f3482f810ac

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Akademický článek

Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users

Autor: Alexander Sboev, Roman Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov, Anton Selivanov

Publikováno v: Big Data and Cognitive Computing, Vol 6, Iss 4, p 145 (2022)

Mapping the pharmaceutically significant entities on natural language to standardized terms/concepts is a key task in the development of the systems for pharmacovigilance, marketing, and using drugs out of the application scope. This work estimates t

Externí odkaz: https://doaj.org/article/a0bc239b672440f6a92c5b408a7b0dbe

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Akademický článek

Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models

Autor: Alexander Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Vyacheslav Ilyin

Publikováno v: Applied Sciences, Vol 12, Iss 1, p 491 (2022)

The paper presents the full-size Russian corpus of Internet users’ reviews on medicines with complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We evaluate the accuracy levels reached on this corpus by a set of a

Externí odkaz: https://doaj.org/article/731013737fc240be96cdebf89cc5954d

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Akademický článek

Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications

Autor: Alexander Sboev, Anton Selivanov, Ivan Moloshnikov, Roman Rybka, Artem Gryaznov, Sanna Sboeva, Gleb Rylkov

Publikováno v: Big Data and Cognitive Computing, Vol 6, Iss 1, p 10 (2022)

Nowadays, the analysis of digital media aimed at prediction of the society’s reaction to particular events and processes is a task of a great significance. Internet sources contain a large amount of meaningful information for a set of domains, such

Externí odkaz: https://doaj.org/article/260f417dea184fafa646b99957c190b1

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