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arXiv · 2403.19511

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

Shan Chen·Jack Gallifant·Marco Guevara·Yanjun Gao·Majid Afshar·Timothy Miller·Dmitriy Dligach·Danielle S. Bitterman
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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.

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Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman. 2024-03-28. Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. https://arxiv.org/abs/2403.19511

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