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Ling-Yao Li

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Preprint Aug 2026

ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling

This study proposes ATHENA (Agentic Transfer across Hospitals for EHR Neural Architecture Search), a knowledge-guided agentic NAS framework for Transformer-based EHR modeling that provides a practical approach for reducing manual architecture tuning in Transformer-based EHR modeling.

De-Yi Li, Qi Xu, Ling-Yao Li et al. · 0 citations

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