FeatureExtraction: Generating Features for a Cohort

An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.

Version: 3.5.2
Depends: R (≥ 3.5.0), DatabaseConnector (≥ 3.0.0), Andromeda
Imports: methods, dplyr, rJava, jsonlite, SqlRender (≥ 1.6.0), ParallelLogger (≥ 2.0.2), cli, pillar, readr, rlang, RSQLite, DBI, checkmate
Suggests: testthat, knitr, rmarkdown, Eunomia (≥ 2.0.0), withr, curl, httr
Published: 2024-05-01
DOI: NA
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg at erasmusmc.nl>
BugReports: https://github.com/OHDSI/FeatureExtraction/issues
License: Apache License 2.0
URL: https://github.com/OHDSI/FeatureExtraction
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: FeatureExtraction results

Documentation:

Reference manual: FeatureExtraction.pdf
Vignettes: Creating covariates based on other cohorts
Creating covariates using cohort attributes
Creating custom covariate builders
Creating custom covariate builders (Korean)
Using FeatureExtraction
Using FeatureExtraction (Korean)

Downloads:

Package source: FeatureExtraction_3.5.2.tar.gz
Windows binaries: r-devel: FeatureExtraction_3.5.2.zip, r-release: FeatureExtraction_3.5.2.zip, r-oldrel: FeatureExtraction_3.5.2.zip
macOS binaries: r-release (arm64): FeatureExtraction_3.5.2.tgz, r-oldrel (arm64): FeatureExtraction_3.5.2.tgz, r-release (x86_64): FeatureExtraction_3.5.2.tgz, r-oldrel (x86_64): FeatureExtraction_3.5.2.tgz

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