Simulants: Synthetic Clinical Trial Data via Subject-Level Privacy-Preserving Synthesis
Clinical trials capture high-quality data for millions of patients each year, yet these data are largely unavailable for research beyond the scope of any individual trial due to a combination of regulatory, intellectual property, and patient privacy barriers. Synthetic clinical trial data that captu...
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Published in | AMIA ... Annual Symposium proceedings Vol. 2022; p. 231 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
2022
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Subjects | |
Online Access | Get full text |
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