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The Use of Model-Theoretical Methods for Automated Knowledge Extraction from Medical Texts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/EDM52169.2021.9507606
Final published version

Ruslan S. Pogodin
Dmitry Palchunov

Original language	English
Title of host publication	2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
Publisher	IEEE Computer Society
Pages	555-560
Number of pages	6
ISBN (Electronic)	9781665414982
DOIs	https://doi.org/10.1109/EDM52169.2021.9507606
Publication status	Published - 30 Jun 2021
Event	22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Aya, Altai Region, Russian Federation Duration: 30 Jun 2021 → 4 Jul 2021

Publication series

Name	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Volume	2021-June
ISSN (Print)	2325-4173
ISSN (Electronic)	2325-419X

Conference

Conference	22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021
Country/Territory	Russian Federation
City	Aya, Altai Region
Period	30.06.2021 → 04.07.2021

OECD FOS+WOS

2.02.IQ ENGINEERING, ELECTRICAL & ELECTRONIC
1.03.UH PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
1.03.SY OPTICS

Research areas

clinical decision support system, expert system, knowledge extraction, knowledge integration, model-theoretical methods, natural language processing, ontological model, ontology, text analysis

ID: 34163236