Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and amalgamate them into a uniform format for easier access by the end-user like biologist, pharmacist, and data scientist. The proposed integrated biomedical knowledge base, BIOINTMED, has 11,299, 12,981, 4428, 61,491, 48,663, and 13,146 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. Finally, a complete statistical analysis of the consolidated biomedical entities is provided.

生物医学数据是复杂且异质的。足够数量的可靠数据对于理解和探索领域很重要。这项工作旨在整合来自各种异类来源（如字典或语料库）的生物医学数据，并将它们合并为统一的格式，以使最终用户（如生物学家，药剂师和数据科学家）更易于访问。拟议的综合生物医学知识库BIOINTMED具有分别针对药物，疾病，靶标，基因，生物医学途径和不良事件的11,299、12,981、4428、61,491、48,663和13,146个唯一实体。还探索了统一的集合，以研究这些实体对之间的相互作用。最后，提供了对合并的生物医学实体的完整统计分析。