F. Sánchez-Hernández

Contrastive Representation Learning on TabTransformer Latent Features for Imbalanced Post-Stroke mRS Classification

This work investigates deep learning-based representation learning strategies for predicting the final post-stroke functional state derived from the modified Rankin Scale using clinical tabular data and demonstrates improved minority-class identification while maintaining overall predictive performance in clinical outc...