umls_processor: Tag Tokens With UMLS Concepts
In CEDARS: Simple and Efficient Pipeline for Electronic Health Record Annotation
Description
Usage
Arguments
Value
View source: R/UMLS_processor.R
Description
Main processor for matching to UMLS concepts.
Usage
1
umls_processor(annotated_text, umls_selected, max_n_grams_length)
Arguments
annotated_text
Dataframe of NLP annotations.
umls_selected
UMLS dictionary.
max_n_grams_length
Maximum length of tokens for matching with UMLS concept unique identifiers (CUI's). Shorter values will result in faster processing. If ) is chosen, UMLS CUI tags will not be provided.
Value
Dataframe of NLP annotations with added UMLS tags.
CEDARS documentation built on Feb. 7, 2021, 5:06 p.m.
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Description Usage Arguments Value
View source: R/UMLS_processor.R
Description
Main processor for matching to UMLS concepts.
Usage
1 | umls_processor(annotated_text, umls_selected, max_n_grams_length)
|
Arguments
annotated_text |
Dataframe of NLP annotations. |
umls_selected |
UMLS dictionary. |
max_n_grams_length |
Maximum length of tokens for matching with UMLS concept unique identifiers (CUI's). Shorter values will result in faster processing. If ) is chosen, UMLS CUI tags will not be provided. |
Value
Dataframe of NLP annotations with added UMLS tags.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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