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J. Du

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Open access Aug 2026

EpiKG2DAG: a Framework for Automated DAG Construction from Biomedical Text

EpiKG2DAG is introduced, a framework that supports evidence-anchored candidate DAG generation by transforming unstructured biomedical abstracts into structured epidemiological associations and enables the automated identification of candidate confounders, mediators, and colliders based on graph-theoretic motifs and literature-derived evidence.

J. Du, G. Deng · 0 citations

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