Synthetic medical data generation: state of the art and application to trauma mechanism classification
Océane Doremus, Ariel Guerra-Adames, Marta Avalos-Fernandez, Vianney Jouhet, Cédric Gil-Jardiné +1 more
8/4/2025
cs.LG
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Abstract
Faced with the challenges of patient confidentiality and scientific reproducibility, research on machine learning for health is turning towards the conception of synthetic medical databases. This article presents a brief overview of state-of-the-art machine learning methods for generating synthetic tabular and textual data, focusing their application to the automatic classification of trauma mechanisms, followed by our proposed methodology for generating high-quality, synthetic medical records combining tabular and unstructured text data.
