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#machine learning Review Oct 2026

Cite What You Explore: Budget-Aware LLM Reasoning over Medical KGs with Verifiable Evidence

Post-discharge risk prediction from electronic health records (EHRs) is difficult because many dependencies that link discharge-time observations to downstream complications, such as comorbidity cascades and drug-disease interactions, are absent from the record. External medical knowledge graphs (KGs) can supply these...

Chen Chen, Dong-Jie Wang, Mei Liu et al. · 0 citations
#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

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