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BioNLP-Clinical-Rs
This dataset contains processed clinical NLP data for medical entity recognition tasks.
Dataset Description
BioNLP-Clinical-Rs is a curated subset of clinical text data processed using our NLP pipeline for healthcare applications.
Sources
- Clinical notes from anonymized medical records
- Processed using BioBERT model for entity extraction
Models Used
- BioBERT-Base for entity recognition
- SapBERT for medical concept normalization
Usage
This dataset is intended for research purposes in clinical NLP and medical AI applications.
Citation
Please cite this dataset as: Lee, J., Yoon, W., Kim, S., Kim, D., Kim, S., So, C.H., & Kang, J. (2020). BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics, 36(4), 1234-1240.
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