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Arya Hadizadeh Moghaddam

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#artificial intelligence Preprint Oct 2026

RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction

Unstructured discharge notes in Electronic Health Records (EHRs) often carry signal complementary to structured medical codes, holding patient-specific evidence that standardized cohort-level codes alone cannot capture. However, this evidence in notes is frequently buried in lengthy, noisy text that is not intentionall...

Arya Hadizadeh Moghaddam, M. Kerdabadi, Chen Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation

Learning rich medical concept representations is essential for EHR prediction. Text-attributed knowledge graphs (TKGs) provide a natural foundation by organizing heterogeneous medical relations together with textual semantics. However, most existing encoders process concepts uniformly across patients, despite the fact...

M. Kerdabadi, Arya Hadizadeh Moghaddam, Dong-Jie Wang et al. · 0 citations

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