1. P. Lewis, M. Ott, J. Du, V. Stoyanov, Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art, in Proceedings of the 3rd Clinical Natural Language Processing Workshop, pp. 146–157
2. B. Wang, Q. Xie, J. Pei, P. Tiwari, Z. Li, Pre-trained language models in biomedical domain: a systematic survey. arXiv preprint arXiv: 2110.05006 (2021)
3. L. Rasmy, Y. Xiang, Z. Xie, C. Tao, D. Zhi, Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. NPJ Digit. Med. 4(1), 1–13 (2021)
4. J. Noh, R. Kavuluru, Improved biomedical word embeddings in the transformer era. J. Biomed. Inf. 120, 103867 (2021)
5. J. Lee, W. Yoon, S. Kim, D. Kim, S. Kim, C.H. So, J. Kang, BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36(4), 1234–1240 (2020)