Article

CausalKnowledgeTrace: A Novel Computational Framework for Automated Literature-Based Causal Graph Construction and Evidence-Based Variable Selection in Biomedical Research

2026-05-12

Abstract excerpt

<h4>Background</h4> Variable selection for causal inference from observational biomedical data is challenging, as overlooking confounders or conditioning on colliders leads to biased estimates. While vast causal knowledge exists in biomedical literature, manually extracting this information for principled variable selection is impractical at scale. <h4>Methods</h4> We developed CausalKnowledgeTrace, a Python-bas...

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Literature Corpus work: 3be97ebd-1a94-583f-b671-1660c4c675a3
DOI: 10.64898/2026.05.07.723601

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