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ReLMem: Learning Recurrent Memory for Longitudinal EHR Modeling
Longitudinal electronic health record (EHR) modeling requires integrating new visits with an expanding patient history. Yet the continual accumulation of clinical information imposes increasing computational and memory costs on large language models (LLMs) when they process and retain complete patie
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