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ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning

A temporal biomedical knowledge graph that contains evidence-linked triples covering 13,431 diseases.

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ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning

By Md Shamim Ahmed, Farzaneh Firoozbakht, Lukas Galke Poech, Jan Baumbach, Richard RöttgerarXiv
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ChronoMedKG is a temporally-grounded biomedical knowledge graph constructed through a multi-agent pipeline. It contains 460,497 evidence-linked triples and adds temporal grounding for 6,250 diseases absent from other resources.

The authors also introduce ChronoTQA, a benchmark of questions across eight task types.

Abstract

ChronoMedKG is a temporally-grounded biomedical knowledge graph constructed through a multi-agent pipeline. It contains 460,497 evidence-linked triples and adds temporal grounding for 6,250 diseases absent from other resources. The authors also introduce ChronoTQA, a benchmark of questions across eight task types.

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temporal knowledge graphbiomedical knowledge graphevidence-linked tripleslongitudinal clinical reasoningknowledge retrieval augmentationKnowledge GraphsStructured ContentContent EngineeringLarge Language Models
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