Development and external validation of deep learning clinical prediction models using variable-length time series data

To compare and externally validate popular deep learning model architectures and data transformation methods for variable-length time series data in 3 clinical tasks (clinical deterioration, severe acute kidney injury AKI, and suspected infection).