frankkramer-lab/GERNERMED
GERNERMED is the first open neural NER model for medical entities designed for German data.
GERNERMED helps medical and pharmaceutical professionals automatically identify key information within German-language medical texts. It takes unstructured German clinical notes, scientific papers, or drug descriptions as input and extracts specific entities like drug names, dosages, frequencies, and durations. This tool is useful for researchers, pharmacists, and medical data analysts working with large volumes of German medical data.
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Use this if you need to quickly and accurately extract specific medical details from German text, such as drug names, their strengths, routes of administration, forms, dosages, frequencies, and durations.
Not ideal if you primarily work with medical texts in languages other than German, or if you need to extract a broader range of medical information beyond drug-related entities.
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Language
Python
License
MIT
Category
Last pushed
Oct 20, 2023
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