rubalsxngh/MedGraph-Biomedical-Knowledge-Graph-with-Mondo-Ontology
MedGraph is a project focused to construct biomedical knowledge graph. It harnesses the power of pubMed for data retrieval, spaCy for NLP, Mondo Ontology for semantic enrichment, and pywikibot for integrating external knowledge. The final step involves deploying the graph onto the Neo4j database, creating a platform to explore medical information.
This project helps medical researchers, scholars, and practitioners organize vast amounts of biomedical information. It takes medical article abstracts, primarily from PubMed, and transforms them into a structured knowledge graph. The output is an interactive database, powered by Neo4j, that allows users to explore connections between diseases, genes, drugs, and other biomedical concepts, providing a clear and integrated view of complex medical data.
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Use this if you need to quickly understand the relationships between biomedical entities across numerous medical abstracts and want an interactive way to query and visualize these connections.
Not ideal if you need to analyze qualitative data or patient records directly, as it focuses on abstract-level biomedical entity relationships.
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Python
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Last pushed
Jan 11, 2024
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