In ML4LHS/medspacy: Medical Natural Language Processing using spaCy, scispacy, and negspacy

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medspacy

The goal of medspacy is to perform biomedical named entity recognition, Unified Medical Language System (UMLS) concept mapping, and negation detection using the Python spaCy, scispacy, and negspacy packages.

Installation

You can install the GitHub version of medspacy with:

remotes::install_github('ML4LHS/medspacy')

Example

library(medspacy)

medspacy('This patient has diabetes and CKD stage 3 but no HTN.')

ML4LHS/medspacy documentation built on Aug. 13, 2020, 12:26 a.m.