Fig. 2: Impact of the data encoding on the performance of different deep learning models.
From: Data encoding for healthcare data democratization and information leakage prevention
Performance of LSTM, Vision Transformer (ViT), Transformer, Temporal Convolutional Network (TCN), and Multi-Branch Temporal Convolutional Network (Multi-TCN) on a MIMIC-III, b PhysioNet, and c eICU, respectively, obtained across five different runs. Violin plots illustrate the average performance of all models based on encoding methods for d MIMIC-III, e PhysioNet, and f eICU, respectively. The middle line within each violin plot represents the median, while the lines on either side represent the lower and upper quartiles. Source data are provided as a Source Data file.
