Improving clinical NLP performance through language model-generated synthetic clinical data
Published in arXiv preprint arXiv:2403.19511, 2024
Recommended citation: Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, and Danielle S Bitterman. 2024. Improving clinical NLP performance through language model-generated synthetic clinical data. In arXiv preprint arXiv:2403.19511. https://arxiv.org/pdf/2403.19511
Abstract:
Generative models have been showing potential for producing data in mass. This study explores the enhancement of clinical natural language processing performance by utilizing synthetic data generated from advanced language models. Promising results show feasible applications in such a high-stakes domain.