pen-ho/medical_knowledge_graph_app-master
医药知识图谱自动问答系统实现，包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别（基于词典+BERT_CRF）、实体链接（Sentence-BERT做匹配）、意图识别（基于提问词+领域词词典）。
This system helps medical professionals or health information seekers get precise answers to health-related questions. You input a natural language question about symptoms, diseases, drugs, or treatments, and it outputs direct answers drawn from a structured medical knowledge graph. It's designed for anyone needing quick, fact-based information on medical conditions, their causes, symptoms, recommended treatments, and related checks or diets.
342 stars. No commits in the last 6 months.
Use this if you need to quickly find factual answers to specific medical questions by typing them in, without sifting through search results or complex medical texts.
Not ideal if you need a diagnostic tool for personalized medical advice or a system that understands highly nuanced, conversational medical discussions beyond direct factual queries.
Stars
342
Forks
55
Language
JavaScript
License
—
Category
Last pushed
Mar 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/pen-ho/medical_knowledge_graph_app-master"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
abachaa/MedQuAD
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
medmcqa/medmcqa
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address...
shawnh2/QA-CivilAviationKG
基于民航业知识图谱的自动问答系统
YeYzheng/KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统
chizhu/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统