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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.

Python 80.20% Jupyter Notebook 19.80%
jupyter-notebook knowledge-graph mondo natural-language-processing natural-language-understanding neo4j nlp nosql-databases python3 pywikibot scispacy

medgraph-biomedical-knowledge-graph-with-mondo-ontology's Introduction

Hi, I'm rubalsxngh

Passionate about Ethical Hacking and Blue teaming

  • Iā€™m currently learning SIEM, SOAR, VMDR and Azure

  • Iā€™m looking to collaborate on anything_cyber_security

  • Ask me about SOC, NOC, Azure

  • Tools and technologies I'm familier with: Python, Splunk, Elastic, Qualys, Windows and Linux

  • How to reach me: [email protected]

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