Mapping Synthea CSV to i2b2 with ML-based 14-day Readmission Prediction

This dataset contains the archived artifacts of a student project on data management and archival concepts.It includes ETL pipelines, mapping rules from Synthea CSV to the i2b2 data warehouse model, data quality checks, and a machine learning pipeline for 14-day hospital readmission prediction. The data is based on synthetic Synthea demo data and does not contain real patient information.

Keywords

i2b2, Readmission Prediction, Clinical Data Warehouse, Synthea, Reproducibility, Data Management

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