Evaluating Synthetic Data Augmentation to Correct for Data Imbalance in Realistic Clinical Prediction Settings

• Published in: Studies in health technology and informatics Vol. 316; p. 929
• Main Authors: Wahler, Nina, Kaabachi, Bayrem, Kulynych, Bogdan, Despraz, Jérémie, Simon, Christian, Raisaro, Jean Louis
• Format: Journal Article
• Language: English
• Published: Netherlands 22.08.2024
• Subjects: Clinical Decision-Making; Humans; Minority Oversampling; Imbalanced Data; Synthetic Data

Predictive modeling holds a large potential in clinical decision-making, yet its effectiveness can be hindered by inherent data imbalances in clinical datasets. This study investigates the utility of synthetic data for improving the performance of predictive modeling on realistic small imbalanced cl...