Characterization - Implement Descriptive Studies Using the Common Data Model
An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Last updated 1 months ago
openjdk
6.13 score 3 starsOhdsiReportGenerator - Observational Health Data Sciences and Informatics Report Generator
Extract results into R from the Observational Health Data Sciences and Informatics result database (see <https://ohdsi.github.io/Strategus/results-schema/index.html>) and generate reports/presentations via 'quarto' that summarize results in HTML format. Learn more about 'OhdsiReportGenerator' at <https://ohdsi.github.io/OhdsiReportGenerator/>.
Last updated 1 months ago
openjdk
4.54 score 2 scripts 134 downloadsOhdsiShinyAppBuilder - 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/>.
Last updated 4 months ago
openjdk
2.00 score 1 scripts 245 downloads