Work

RuMedSpellchecker: A new approach for advanced spelling error correction in Russian electronic health records

Year: 2024

Type: article

Source: Journal of Computational Science

DOI: 10.1016/j.jocs.2024.102393

Authors: Dmitrii Pogrebnoi, Anastasia Funkner, Sergey Kovalchuk

Institution: ITMO University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Education and Science of the Russian Federation

OpenAlex ID: W4401075306

FWCI: 0.312

Cites: 26

Cited by: 3

Related to: 10