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S. Son

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Open access Aug 2026

A hybrid deep learning and large language model framework for MACE risk prediction and evidence-based clinical recommendations

A two-fold framework integrating deep learning and large language models to predict MACE risk and generate personalized, guideline-based recommendations is proposed, which effectively combines accurate MACE risk prediction with interpretable, evidence-based preventive recommendations delivered via a web interface.

Saba Arif, S. Son, Jong-Yun Lee · 0 citations

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