liuhuanyong/QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2890
- days_rel: n/a
- days_push: 755
- n_releases_24m: 0
Adoption not part of the score
7363 stars · 2279 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A tutorial-style Python project that builds a disease-centered medical knowledge graph (44k entities, 300k relations) in Neo4j from scraped vertical medical website data, and implements a question-answering chatbot on top of it. It covers the full pipeline from data collection and dictionary-based entity extraction to graph import and intent-based question parsing.
Use cases
- build a medical knowledge graph from scratch
- question answering over a knowledge graph
- learn how to construct a domain knowledge graph with neo4j
- medical chatbot that answers disease, drug, and symptom questions
- extract structured medical entities from web data
- tutorial on knowledge graph construction and QA
When to choose
- you want an end-to-end educational example of building and querying a domain knowledge graph
- you need a Chinese-language medical QA demo based on Neo4j
- you are learning NLP pipelines for entity extraction and question classification
When to avoid
- you need production-grade, clinically validated medical information
- you need a scalable multi-user QA service with modern LLM-based understanding
- you need a maintained library with a license and active development
Facets
application · maturity maintenance
nlp search-engine chatbot web-scraping parser healthcare artificial-intelligence databases python self-hosted knowledge-graph neo4j question-answering medical tutorial chinese-nlp natural-language-processing
1 source
- readme: https://github.com/liuhuanyong/QASystemOnMedicalKG · fetched 2026-08-28 · 906fd3b0afab
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| liuhuanyong/QASystemOnMedicalKG | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="liuhuanyong/QASystemOnMedicalKG")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem