CLINICAL DIGITAL TWINS IN PEDIATRIC ASTHMA: GENERATION AND DISTRIBUTIONAL VALIDATION OF A LONGITUDINAL SYNTHETIC DATABASE UNDER SAMPLE CONSTRAINTS
Considering that pediatric clinical trials often yield small samples, incompatible with the data volume required by deep learning, and that asthma is the most prevalent chronic disease in childhood, the aim is to present and validate a reproducible methodology for generating a longitudinal synthetic database from a sma...