| --- |
| configs: |
| - config_name: cohort |
| data_files: |
| - split: train |
| path: cohort_subset.csv |
| - config_name: covariates |
| data_files: |
| - split: train |
| path: covariate_subset.csv |
| - config_name: data |
| data_files: |
| - split: train |
| path: data_subset.csv |
| --- |
| |
| # OMOP POU Data Card |
|
|
| ---------------------------------- |
|
|
| ## Publication |
|
|
| Naderalvojoud, Behzad, et al. |
| "Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network." |
| *Journal of the American Medical Informatics Association* 31.5 (2024): 1051–1061. |
|
|
| Please refer to the publication for full details on cohort construction and model development. |
|
|
| --- |
|
|
| ## Dataset Specification |
|
|
| - **Source of Data**: STARR OMOP |
| - **Prediction outcome**: Prolonged opioid use |
| - 1: Prolonged |
| - 0: Non-prolonged |
| - **Covariate count**: 10,636 |
| - **Total cohort size (original)**: 41,929 patients |
| - **Final modeling cohort**: 41,507 patients |
| - **Training set size**: 33,206 |
| - **Test set size**: 8,301 |
|
|
| --- |
|
|
| ## Note on Data Availability |
|
|
| 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. |
|
|
| --- |
|
|
| ## File Descriptions |
|
|
| ### `cohort_subset.csv` |
| |
| Contains 10 example (synthetic) patients with: |
| - `rowId`: patient identifier |
| - `outcome`: prolonged opioid use label |
| |
| --- |
| |
| ### `data_subset.csv` |
|
|
| Represents the model input matrix: |
| - Each row corresponds to a patient |
| - Each column corresponds to a covariate (by covariateId) |
| - `rowId` links to `cohort_subset.csv` |
|
|
| --- |
|
|
| ### `covariate_subset.csv` |
| |
| Covariate dictionary containing: |
| - `covariateId` |
| - `covariateName` |
