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High-Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million-Patient Diabetes Cohort

2025-07-21

Abstract excerpt

Synthetic data generated using generative models trained on real clinical data offers a promising solution to privacy concerns in health research. However, many efforts are limited by small or demographically narrow training datasets, reducing the generalizability of the synthetic data. To address this, we used real-world clinical data from nearly one million individuals with diabetes in the Andalusian Population...

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Literature Corpus work
bf68395c-add1-5281-9354-a099a46a92d0
DOI
10.1101/2025.07.20.25331852
Open publication

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High-Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million-Patient Diabetes CohortDOI 10.1101/2025.07.20.25331852
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