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Knowledge Extraction of Biomedical Documents - powered by Modzy MLOps platform for Enterprise and Edge AI

Knowledge Extraction of Biomedical Documents

Model by SK Group

This model identifies the 12 entity types in the input text: CPA, DISEASE, ENZYME, GENE, INTERACTION, MPA, NEGREG, PATHWAY, POSREG, PROTEIN, REG, and VAR. It can also extract the relations between these entities as CauseOf and ThemeOf. The model accepts the text of the biomedical literature in English. It then returns a JSON file containing the input text, an entity list, and a relation list. The entity list includes the location, label, and probability of prediction per entity. And the relation list includes the location of the two entities, the relation label, and the probability of prediction per relation.

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