Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models
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DOI: 10.1186/s12911-025-03266-3
Abstract: Small datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this, data augmentation is one solution and is often used… read more here.
Keywords: tabular health; augmentation; performance; roc auc ... See more keywords