OhdsiShinyAppBuilder

Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules

Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see < https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at < https://ohdsi.github.io/OhdsiShinyAppBuilder/>.

Reference manual

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install.packages("OhdsiShinyAppBuilder")

1.1.0 by Jenna Reps, 3 months ago

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

Authors: Jenna Reps [aut, cre] , Nathan Hall [aut] , Josh Ide [aut] , Jamie Gibert [aut]

Documentation:   PDF Manual  

Apache License 2.0 license

Imports checkmate, DatabaseConnector, dplyr, ParallelLogger, remotes, ResultModelManager, rlang, shiny, shinydashboard, utils

Suggests devtools, Eunomia, jsonlite, knitr, rmarkdown, testthat, markdown

Suggested by Characterization, PatientLevelPrediction.

See at CRAN

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