zhihao-chen/QASystemOnMedicalGraph

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1426 stars · 342 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A medical-domain knowledge graph question answering system built in Python with Neo4j, containing ~37k entities and ~210k relations scraped from 39 Health. It parses user questions, classifies intent, and answers queries about diseases, symptoms, drugs, and treatments.

Use cases

• build a medical knowledge graph question answering system
• learn how KBQA pipelines work end to end
• query diseases by symptom, drug, or department
• construct a Neo4j knowledge graph from scraped health data
• implement Chinese question intent classification

When to choose

• you want a simple, educational reference implementation of a knowledge-graph QA system
• you need a small Chinese medical knowledge graph with Neo4j
• you are learning KBQA intent classification and graph querying

When to avoid

• you need production-grade medical advice or up-to-date clinical data
• you require a maintained project with a license or active releases
• you need large-scale or multilingual knowledge graphs

Facets

application · maturity maintenance

nlp search-engine chatbot rag healthcare artificial-intelligence databases python windows knowledge-graph kbqa neo4j medical-qa chinese-nlp question-answering natural-language-processing linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="zhihao-chen/QASystemOnMedicalGraph")