Methods: This study proposed an autoencoder learning algorithm to take advantage of sparsity reduction in clinical note representation. The motivation was to determine how to compress sparse, ...

Recently, contrastive learning has been successful in computer vision, with fewer labeled and a large amount of unlabeled data. Inspired by it, a polarimetric data-enhanced contrastive learning ...