frankkramer-lab/GERNERMED-pp
GERNERMED++ is a transfer-learning-based open neural NER model for medical entities designed for German data.
GERNERMED++ helps medical professionals, researchers, or data analysts to automatically identify and extract key medication details from German medical texts. You input German clinical notes, patient records, or research papers, and it outputs highlighted specific entities like drug names, dosages, frequencies, durations, and forms. This tool is for anyone needing to efficiently structure information from large volumes of German medical text.
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Use this if you need to quickly and accurately pull out medication-related information from German-language medical documents, saving manual review time.
Not ideal if your medical texts are in a language other than German, or if you need to extract information beyond medication details.
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Python
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Last pushed
Oct 20, 2023
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