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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models

Fig. 2

Visual depiction of SKiM coupled with knowledge graph annotation. Co-occurrence modeling (SKiM) is used to find statistically significant A–B–C relationships (e.g., migraine-epilepsy-sodium valproate). The knowledge graph, built by extracting biomedical entities and relationships from PubMed abstracts with ML, is queried for the A–B and B–C relationships. If these are found in the database, the relationships that SKiM found are annotated (e.g., “migraine POS_ASSOCIATION epilepsy,” “sodium valproate TREATS epilepsy”)

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BMC Bioinformatics

ISSN: 1471-2105

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