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RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques.
Dmitrii Pogrebnoi
Anastasia A. Funkner
Sergey V. Kovalchuk
Published in:
ICCS (3) (2023)
Keyphrases
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electronic health records
clinical data
health care
language learning
health information technology
real world
medical data
natural language
health data
data mining
health records
knowledge discovery
general purpose
digital libraries
databases
information overload
clinical trials