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Automated Missing Data Monitoring in a Multi-Center Clinical Registry
This project developed an automated R-based pipeline for monitoring data quality and visualizing missing data patterns in a multi-center kidney transplant registry.
The pipeline evaluates data completeness across variables, patient records, and transplant centers and can be repeatedly applied as the registry dataset is updated.
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