negex_processor: Annotate for Negation
In CEDARS: Simple and Efficient Pipeline for Electronic Health Record Annotation
Description
Usage
Arguments
Value
Description
Annotates EHR text for negation, based on Negex, as simple medical negation lexicon. Tokens are labelled by proximity. The original paper went up to 6 tokens before or after negation.
Usage
1
negex_processor(annotated_text, negex_simp, negex_depth = 6)
Arguments
annotated_text
Dataframe of NLP annotations.
negex_simp
Dataframe of simplified negex.
negex_depth
Maximum distance between word to label and negation term, before or after. Default is 6, as per original paper by Chapman et al.
Value
Dataframe with added negation information.
CEDARS documentation built on Feb. 7, 2021, 5:06 p.m.
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Description Usage Arguments Value
Description
Annotates EHR text for negation, based on Negex, as simple medical negation lexicon. Tokens are labelled by proximity. The original paper went up to 6 tokens before or after negation.
Usage
1 | negex_processor(annotated_text, negex_simp, negex_depth = 6)
|
Arguments
annotated_text |
Dataframe of NLP annotations. |
negex_simp |
Dataframe of simplified negex. |
negex_depth |
Maximum distance between word to label and negation term, before or after. Default is 6, as per original paper by Chapman et al. |
Value
Dataframe with added negation information.
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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