linzixuan45/CMeKG_tools_Version_3
CMeKG Tools for Medical Predict
This tool helps medical professionals, researchers, and developers build and apply medical knowledge graphs for predictive tasks. It takes medical text data (like patient notes or research papers) and processes it to identify medical entities (e.g., diseases, symptoms), segment these entities, and predict relationships between them. The output is a structured medical knowledge graph that can be used to accurately predict symptoms or other medical outcomes.
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Use this if you need to extract and structure medical information from Chinese text to improve the accuracy of symptom prediction and other diagnostic or research applications.
Not ideal if your primary need is for non-Chinese language medical text processing, or if you require advanced text generation capabilities beyond entity recognition and relation prediction.
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Last pushed
Aug 09, 2024
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