CPRD Data Encoder
Abstract
The RL-CPRD Encoder is an open-source data encoding pipeline that prepares Clinical Practice Research Datalink (CPRD) Aurum extracts and their linked datasets for downstream reinforcement learning experiments evaluating AI/ML clinical prediction models. The project provides high-volume, vectorised data processing pipelines using Polars, outputting optimised Parquet datasets for large-scale healthcare research.
Fields of Study & Subjects
Machine Learning in Healthcare
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Publication details
- Publication date
- 1 January 2026
- Document type
- Preprint