frankkramer-lab/GPTNERMED
GPTNERMED is a language model-generated, synthetic dataset and an open neural NER model for medical entities designed for German data.
GPTNERMED helps medical professionals and researchers analyze German medical texts by automatically identifying key information. You input raw German clinical notes or medical documents, and it highlights specific mentions of medications, dosages, and diagnoses. This is ideal for anyone working with unstructured German medical text who needs to extract precise clinical details efficiently.
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Use this if you need to quickly and accurately extract medication names, dosages, and diagnoses from German medical documents without manual review.
Not ideal if your primary need is to analyze medical texts in languages other than German, or to identify medical entities beyond medications, dosages, and diagnoses.
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Language
Python
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Last pushed
Oct 05, 2023
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