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CohortExplorer: Explorer of Profiles of Patients in a Cohort

This software tool is designed to extract data from a randomized subset of individuals within a cohort and make it available for exploration in a shiny application environment. It retrieves date-stamped, event-level records from one or more data sources that represent patient data in the Observational Medical Outcomes Partnership (OMOP) data model format. This tool features a user-friendly interface that enables users to efficiently explore the extracted profiles, thereby facilitating applications, such as reviewing structured profiles.

Version: 0.1.0
Depends: DatabaseConnector (≥ 5.0.0), R (≥ 4.0.0)
Imports: checkmate, dplyr, lifecycle, ParallelLogger, rlang, stats
Suggests: rmarkdown, testthat, knitr, withr
Published: 2023-10-23
Author: Gowtham Rao [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Gowtham Rao <rao at ohdsi.org>
BugReports: https://github.com/OHDSI/CohortExplorer/issues
License: Apache License version 1.1 | Apache License version 2.0 [expanded from: Apache License]
URL: https://ohdsi.github.io/CohortExplorer/, https://github.com/OHDSI/CohortExplorer
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: CohortExplorer results

Documentation:

Reference manual: CohortExplorer.pdf
Vignettes: How to use Cohort Explorer

Downloads:

Package source: CohortExplorer_0.1.0.tar.gz
Windows binaries: r-devel: CohortExplorer_0.1.0.zip, r-release: CohortExplorer_0.1.0.zip, r-oldrel: CohortExplorer_0.1.0.zip
macOS binaries: r-release (arm64): CohortExplorer_0.1.0.tgz, r-oldrel (arm64): CohortExplorer_0.1.0.tgz, r-release (x86_64): CohortExplorer_0.1.0.tgz, r-oldrel (x86_64): CohortExplorer_0.1.0.tgz
Old sources: CohortExplorer archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CohortExplorer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.