Biomedical knowledge has a high impact on mankind and society. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and amalgamate them into an uniform accessible format for the end user like biologist, pharmacist, and data scientist. The proposed integrated biomedical knowledge base, BIOINTMED, have 11299, 12981, 4428, 61491, 48663, and 13146 unique entities for drugs, diseases, targets, genes, biomedical pathways, and adverse events, respectively. The uniform aggregated collection is also explored to study the interaction among these entity pairs.
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