Generating Realistic Synthetic Patient Cohorts: Enforcing Statistical Distributions, Correlations, and Logical Constraints
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DOI: 10.3390/a18080475
Abstract: Large, high-quality patient datasets are essential for applications like economic modeling and patient simulation. However, real-world data is often inaccessible or incomplete. Synthetic patient data offers an alternative, and current methods often fail to preserve… read more here.
Keywords: correlations logical; real world; synthetic patient; patient cohorts ... See more keywords