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PaReGTA: A Temporally Aware LLM-Based Patient Representation Framework for EHR Analytics
Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot or count-based representations, while sequence models can be costly and data-hungry. We propose PaReGTA, an LLM-based encoding framework that (i) converts longitudinal EHR events into visit-level temp
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