Clinical Natural Language Processing using 'spaCy', 'scispaCy', and 'medspaCy'

Documentation for package ‘clinspacy’ version 1.0.2

bind_clinspacy	This function binds columns containing either the lemma of the entity or the UMLS concept unique identifier (CUI) with frequencies to a data frame. The resulting data frame can be used to train a machine learning model or for additional feature selection.
bind_clinspacy_embeddings	This function binds columns containing entity or concept embeddings to a data frame. The entity embeddings are derived from the scispacy package, and the concept embeddings are derived from the 'dataset_cui2vec_embeddings' dataset included with this package.
clinspacy	This is the primary function for processing both data frames and character vectors in the 'clinspacy' package.
clinspacy_init	Initializes clinspacy. This function is optional to run but gives you more control over the parameters used by scispacy at initiation. If you do not run this function, it will be run with default parameters the first time that any of the package functions are run.
dataset_cui2vec_definitions	Cui2vec concept definitions
dataset_cui2vec_embeddings	Cui2vec concept embeddings
dataset_mtsamples	Medical transcription samples.