Machine Learning Feature Store for Clinical Predictive Models

Build a scalable feature store using Apache Cassandra and Python that manages feature engineering pipelines for clinical predictive models. Design a system that can version machine learning features, track data lineage, and provide real-time feature computation for medical risk prediction algorithms. Implement a metadata management layer that supports feature registration, validation, and automated monitoring of data drift in healthcare prediction models.