[aut, cre]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>.
| Version: | 1.90 |
| Depends: | R (≥ 3.5.0) |
| Imports: | fastmatch, jsonlite, mongolite, parallel, readr, shiny, udpipe, utils |
| Published: | 2021-02-07 |
| Author: | Simon Mantha
[aut, cre] |
| Maintainer: | Simon Mantha <smantha at cedars.io> |
| BugReports: | https://github.com/simon-hans/CEDARS/issues |
| License: | GPL-3 |
| URL: | https://cedars.io (main) https://github.com/simon-hans/CEDARS (devel) |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | CEDARS results |
| Reference manual: | CEDARS.pdf |
| Package source: | CEDARS_1.90.tar.gz |
| Windows binaries: | r-devel: CEDARS_1.90.zip, r-release: CEDARS_1.90.zip, r-oldrel: CEDARS_1.90.zip |
| macOS binaries: | r-release: CEDARS_1.90.tgz, r-oldrel: CEDARS_1.90.tgz |
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