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@@ -14,9 +14,67 @@ configs:
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  path: data_subset.csv
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  ---
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- # POU
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- Three separate CSV tables:
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- - cohort
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- - covariates
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- - data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data_subset.csv
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  ---
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+ # OMOP POU Data Card
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+ ----------------------------------
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+
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+ ## Publication
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+
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+ Naderalvojoud, Behzad, et al.
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+ "Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network."
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+ *Journal of the American Medical Informatics Association* 31.5 (2024): 1051–1061.
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+
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+ Please refer to the publication for full details on cohort construction and model development.
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+
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+ ---
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+
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+ ## Dataset Specification
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+
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+ - **Source of Data**: STARR OMOP
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+ - **Prediction outcome**: Prolonged opioid use
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+ - 1: Prolonged
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+ - 0: Non-prolonged
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+ - **Covariate count**: 10,636
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+ - **Total cohort size (original)**: 41,929 patients
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+ - **Final modeling cohort**: 41,507 patients
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+ - **Training set size**: 33,206
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+ - **Test set size**: 8,301
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+
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+ ---
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+
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+ ## Note on Data Availability
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+
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+ Due to PHI restrictions, the full dataset cannot be publicly released. The files provided here are **small subset examples with synthetic patients**, intended only to demonstrate the **structure and format** of the dataset.
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+
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+ ---
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+
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+ ## File Descriptions
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+
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+ ### `cohort_subset.csv`
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+
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+ Contains 10 example (synthetic) patients with:
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+ - `rowId`: patient identifier
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+ - `outcome`: prolonged opioid use label
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+
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+ ---
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+
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+ ### `data_subset.csv`
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+
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+ Represents the model input matrix:
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+ - Each row corresponds to a patient
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+ - Each column corresponds to a covariate (by covariateId)
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+ - `rowId` links to `cohort_subset.csv`
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+
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+ ---
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+
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+ ### `covariate_subset.csv`
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+
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+ Covariate dictionary containing:
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+ - `covariateId`
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+ - `covariateName`
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+
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+ ---
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+
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+ ## Support
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+
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+ Please contact Dr. Behzad Naderalvojoud at behzadn@stanford.edu for any questions or clarifications regarding this dataset.