Giesa et al. train and evaluate multiple deep learning architectures on multivariable clinical time series for the prediction of postoperative delirium (POD). An adapted transformer model named as TRAPOD performs best, making use of temporal intraoperative dynamics.
- Niklas Giesa
- Maria Sekutowicz
- Sebastian Daniel Boie
