Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation
TRACER predicts clinical risk like mortality by combining a severity-grounded medical knowledge graph with patient history and clinical notes. It uses trajectory retrieval to find disease progression paths and retrieval-augmented generation to create interpretable, data-sparse risk assessments that outperform existing models.