FeatureExtraction
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OHDSI
An R package for generating features (covariates) for a cohort using data in the Common Data Model.
These lines have slightly incorrect descriptions. https://github.com/OHDSI/FeatureExtraction/blob/f4536fb75e5c32399c91270f6b6e35c8e95fdf1e/inst/csv/PrespecAnalyses.csv#L49 https://github.com/OHDSI/FeatureExtraction/blob/f4536fb75e5c32399c91270f6b6e35c8e95fdf1e/inst/csv/PrespecAnalyses.csv#L45
I am wondering if there is a way today to create distinct covariates for Observations / Measurements based on values in the records e.g. value_as_concept_id. In other words, not a...
Building on the work done in #174, we'd like to use the `minCharacterizationMean` to filter out covariates that are smaller than this threshold. The current implementation (v3.5.1) does this in...
In version 3.4.0, we have deprecated the "cohortId" param and introduced "cohortIds" instead. The next step is to remove the "cohortId" param from the code. [See for example](https://github.com/OHDSI/FeatureExtraction/blob/main/R/GetCovariates.R#L114-L117)
Current cohort covariate functionality reports overlap of feature cohort during some time window in relation to cohort_start_date. I would like feature_cohort_start_date was in time window.
Per HADES OKRs we should expand the list of testing servers to include all available sources: https://ohdsi.github.io/Hades/testServerUsage.html
### Inconsistent Handling of `cohortIds` in `getDbCovariateData` Depending on `aggregated` Setting #### Issue Description: I've encountered a potential bug in the `FeatureExtraction` package's `getDbCovariateData` function. The function behaves inconsistently when...