DESCRIPTION

Package: clinspacy
Type: Package
Title: Clinical Natural Language Processing using 'spaCy', 'scispaCy', and 'medspaCy'
Version: 1.0.2.9000
Authors@R: c(person("Karandeep", "Singh",
            email = "kdpsingh@umich.edu", role = c("aut", "cre")),
            person("Benjamin", "Kompa", role = c("aut")),
            person("Andrew", "Beam", role = c("aut")),
            person("Allen", "Schmaltz", role = c("aut")))
Description: Performs biomedical named entity recognition,
    Unified Medical Language System (UMLS) concept mapping, and negation
    detection using the Python 'spaCy', 'scispaCy', and 'medspaCy' packages, and 
    transforms extracted data into a wide format for inclusion in machine
    learning models. The development of the 'scispaCy' package is described by
    Neumann (2019) <doi:10.18653/v1/W19-5034>. The 'medspacy' package uses
    'ConText', an algorithm for determining the context of clinical statements
    described by Harkema (2009) <doi:10.1016/j.jbi.2009.05.002>. Clinspacy
    also supports entity embeddings from 'scispaCy' and UMLS 'cui2vec' concept
    embeddings developed by Beam (2018) <arXiv:1804.01486>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: 
    reticulate (>= 1.19),
    data.table,
    assertthat,
    rappdirs,
    utils,
    magrittr
RoxygenNote: 7.1.1
URL: https://github.com/ML4LHS/clinspacy
BugReports: https://github.com/ML4LHS/clinspacy/issues
Depends: 
    R (>= 2.10)
Suggests: 
    knitr,
    rmarkdown