Repository for Publicly Available Clinical BERT Embeddings (NAACL Clinical NLP Workshop 2019)

The Clinical BERT models can be downloaded here, or via

wget -O pretrained_bert_tf.tar.gz https://www.dropbox.com/s/8armk04fu16algz/pretrained_bert_tf.tar.gz?dl=1

biobert_pretrain_output_all_notes_150000 corresponds to Bio+Clinical BERT, and biobert_pretrain_output_disch_100000 corresponds to Bio+Discharge Summary BERT. Both models are finetuned from BioBERT.

To reproduce the steps necessary to finetune BERT or BioBERT on MIMIC data, follow the following steps:

1. Run format_mimic_for_BERT.py - Note you'll need to change the file paths at the top of the file.
2. Run create_pretrain_data.sh
3. Run finetune_lm_tf.sh

Note: See issue #4 for ways to improve section splitting code.

To see an example of how to use clinical BERT for the Med NLI tasks, go to the run_classifier.sh script in the downstream_tasks folder.

Please post a Github issue or contact [email protected] if you have any questions.

Please cite our arXiv paper:

@article{alsentzer2019publicly,
  title={Publicly available clinical BERT embeddings},
  author={Alsentzer, Emily and Murphy, John R and Boag, Willie and Weng, Wei-Hung and Jin, Di and Naumann, Tristan and McDermott, Matthew},
  journal={arXiv preprint arXiv:1904.03323},
  year={2019}
}