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Synthetic Data Generator for Privacy-Preserving ML Model Training in Healthcare for Migration Planning Migration Sprint

Generate statistically faithful synthetic patient data for training ML models when real patient data cannot be used due to HIPAA constraints, validated by utility and privacy metrics.

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• ML Pipeline Design

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