king-yyf/CMeKG_tools

Health v2 · maintenance only

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Adoption not part of the score

1493 stars · 497 forks observed · 2026-08-28

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

A collection of pretrained models and Python code for the Chinese Medical Knowledge Graph (CMeKG), providing medical text segmentation, medical named entity recognition, and medical relation extraction. Models are BERT-based and distributed via Baidu Netdisk with training and inference scripts included.

Use cases

• extract medical entities from Chinese clinical text
• extract disease-symptom relation triples from Chinese medical text
• segment Chinese medical text
• train a medical NER model
• build a Chinese medical knowledge graph
• identify drugs and diseases in Chinese sentences

When to choose

• you need Chinese-language medical NER, relation extraction, or word segmentation with pretrained BERT models
• you are building on or extending the CMeKG medical knowledge graph
• you want trainable PyTorch/transformers pipelines for medical Chinese NLP

When to avoid

• you need English or multilingual medical NLP
• you need a production-ready service with an API rather than scripts and model files
• you cannot download large models from Baidu Netdisk
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

nlp machine-learning parser healthcare artificial-intelligence python chinese-medical-nlp knowledge-graph named-entity-recognition relation-extraction word-segmentation bert medical-text-mining natural-language-processing

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markdown · JSON · MCP: product_card(name="king-yyf/CMeKG_tools")