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BioBERT

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RESEARCH · 1 SOURCE · arXiv cs.AI

HCOE: hyperbolic ontology embeddings map BioBERT into a Poincaré ball for hierarchy-aware clinical concept representation

This arXiv v1 paper introduces Hyperbolic Clinical Ontology Embeddings (HCOE), which map frozen BioBERT embeddings into a Poincaré ball and train with parent-side and child-side ontology-guided contrastive learning plus coarse-to-fine ontology-path aggregation. HCOE is built using ICD codes organized by CCS and ATC medication hierarchies; evaluations report it outperforms baselines on ICD/ATC clinical relation prediction, CCS-to-PheCode hierarchy transfer, and downstream MIMIC‑IV tasks including mortality and readmission prediction, medication recommendation, and rare drug prediction.

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