Generating synthetic mixed discrete-continuous health records with mixed sum-product networks.
Shannon K S KroesMatthijs van LeeuwenRolf H H GroenwoldMart P JanssenPublished in: Journal of the American Medical Informatics Association : JAMIA (2022)
Generating synthetic data from MSPNs is a promising, easy-to-use approach for anonymization of sensitive individual health data that yields informative and private data.