chenjunyi1999/Medical-NER
[NLP] A Named Entity Recognition project for the medical records (from ccks2019) using BERT+BiLSTM+CRF
This tool helps medical professionals, researchers, or data analysts to automatically identify key medical information within Chinese clinical notes or patient records. It takes raw Chinese medical text as input and outputs a version where specific entities like symptoms, diseases, or treatments are highlighted, making the information easier to extract and analyze. It's designed for anyone working with unstructured medical text in Chinese who needs to quickly pinpoint crucial details.
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Use this if you need to automatically extract structured medical entities from unstructured Chinese medical texts, like patient histories or research papers.
Not ideal if your data is not in Chinese or if you need to recognize entities outside of a medical context.
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20
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Language
Python
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Last pushed
Jul 26, 2024
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