HAL (France)
open access
Conceptualizing and evaluating the robustness of prediction models in healthcare
Machine learning-based prediction models in healthcare often achieve high predictive performance, driven by continuous advances in model architectures and the integration of diverse data modalities. However, their ability to maintain reliable performance under perturbations and variability, commonly
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