CEHR-XGPT unifies feature representation, zero-shot prediction, and synthetic data generation in a single GPT-2 style EHR model using artificial time tokens with time-decomposition and time-to-event losses.
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CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
CEHR-XGPT unifies feature representation, zero-shot prediction, and synthetic data generation in a single GPT-2 style EHR model using artificial time tokens with time-decomposition and time-to-event losses.