V
Variable Length Sequence Modeling
To develop, validate, and compare popular deep learning model architectures and data transformation methods for variable-length time series data from EHR in predicting clinical outcomes
To develop, validate, and compare popular deep learning model architectures and data transformation methods for variable-length time series data from EHR in predicting clinical outcomes