cb1cyf/CBioNAMER
Nested Named Entity Recognition for Chinese Biomedical Text
This tool helps medical researchers and practitioners automatically identify and categorize key biomedical entities within Chinese medical texts. By inputting Chinese sentences or documents, it extracts terms like diseases, symptoms, drugs, and medical procedures. It's designed for anyone working with Chinese clinical notes, research papers, or medical literature who needs to quickly find and classify specific medical information.
No commits in the last 6 months. Available on PyPI.
Use this if you need to accurately extract and label specific medical terms from Chinese biomedical text, such as identifying all diseases mentioned in a patient's record or all drugs in a research abstract.
Not ideal if your primary need is general-purpose Chinese text analysis outside of the biomedical domain or if you require extraction of entities not covered by the predefined medical categories.
Stars
12
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jan 25, 2024
Commits (30d)
0
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