Simple and Efficient Pipeline for Electronic Health Record Annotation

Streamlined annotation pipeline for collection and aggregation of time-to-event data in retrospective clinical studies. 'CEDARS' aims to systematize and accelerate the review of electronic health record (EHR) corpora. It accomplishes those goals by deploying natural language processing as a tool to assist detection and characterization of clinical events by human abstractors. The online user manual presents the necessary steps to install 'CEDARS', process EHR corpora and obtain clinical event dates: < https://cedars.io>.


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install.packages("CEDARS")

1.90 by Simon Mantha, a month ago


https://cedars.io (main) https://github.com/simon-hans/CEDARS (devel)


Report a bug at https://github.com/simon-hans/CEDARS/issues


Browse source code at https://github.com/cran/CEDARS


Authors: Simon Mantha [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports fastmatch, jsonlite, mongolite, parallel, readr, shiny, udpipe, utils


See at CRAN