Package: clinspacy 1.0.2.9000

Karandeep Singh

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

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>.

Authors:Karandeep Singh [aut, cre], Benjamin Kompa [aut], Andrew Beam [aut], Allen Schmaltz [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/ml4lhs/clinspacy/issues

On CRAN:

8 exports 93 stars 3.97 score 15 dependencies 13 scripts 282 downloads

Last updated 3 years agofrom:2efc73a3db. Checks:OK: 7. Indexed: yes.

Exports:%>%bind_clinspacybind_clinspacy_embeddingsclinspacyclinspacy_initdataset_cui2vec_definitionsdataset_cui2vec_embeddingsdataset_mtsamples

Dependencies:assertthatdata.tableherejsonlitelatticemagrittrMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr