baiyyang/medical-entity-recognition
包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别
This project helps medical professionals and researchers automatically identify key medical entities like symptoms, diseases, or treatments from unstructured medical text, such as electronic health records. You input raw medical text, and it outputs the same text with specific medical terms highlighted and categorized. It's designed for data scientists or NLP engineers working with medical data.
226 stars. No commits in the last 6 months.
Use this if you need to extract structured information from large volumes of medical text for analysis, research, or clinical decision support.
Not ideal if you're looking for a no-code solution or a tool for general-purpose text analysis outside the medical domain.
Stars
226
Forks
69
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 22, 2020
Commits (30d)
0
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