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    QASystemOnMedicalKG

    QASystemOnMedicalKG

    A tutorial and implement of disease centered Medical knowledge graph

    ...The included graph contains diseases, symptoms, drugs, foods, examinations, departments, and commercial drug products. Python scripts handle data collection, dictionary-based segmentation, graph construction, question classification, parsing, and database queries. The chatbot recognizes many question patterns, including symptoms, causes, complications, diet guidance, medications, examinations, prevention, treatment methods, and susceptible groups. Users configure Neo4j, build the database, and launch the graph-based chat program locally. The project is an educational NLP reference and should not be treated as a clinical diagnostic system.
    Downloads: 2 This Week
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