Package: clinspacy
Type: Package
Title: Clinical Natural Language Processing using 'spaCy', 'scispaCy',
        and 'medspaCy'
Version: 1.0.2
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 (>= 1.16), 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
NeedsCompilation: no
Packaged: 2021-03-18 16:42:43 UTC; kdpsingh
Author: Karandeep Singh [aut, cre],
  Benjamin Kompa [aut],
  Andrew Beam [aut],
  Allen Schmaltz [aut]
Maintainer: Karandeep Singh <kdpsingh@umich.edu>
Repository: CRAN
Date/Publication: 2021-03-20 10:50:12 UTC
Built: R 4.3.3; ; 2025-01-24 15:11:01 UTC; unix
