Evaluating Synthetic Data Augmentation to Correct for Data Imbalance in Realistic Clinical Prediction Settings
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DOI: 10.3233/shti240563
Abstract: 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… read more here.
Keywords: synthetic data; data augmentation; evaluating synthetic; clinical datasets ... See more keywords