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.
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openjdk
6.18 score 3 stars 28 scripts 641 downloadsOhdsiReportGenerator - 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/>.
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quartoopenjdk
5.00 score 5 scripts 691 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/>.
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openjdk
2.38 score 24 scripts 302 downloads