LLM-generated synthetic data improved AUROC for minority groups in 13 of 17 tested settings, but group-specific prompting added no consistent benefit over generic prompts.
Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)
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Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study
LLM-generated synthetic data improved AUROC for minority groups in 13 of 17 tested settings, but group-specific prompting added no consistent benefit over generic prompts.