Temporal

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes

eXITs: An Ensemble Approach for Imputing Missing EHR Data

Analysis of Longitudinal Autoantibody Profiles and the Progression Rates to Type 1 Diabetes

Predicting Onset of Type 1 Diabetes Using a Novel Interaction Model

Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity

Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning

Continuous Conditional Dependency Network for Structured Regression

Minimum Redundancy Maximum Relevance Feature Selection Approach For Temporal Gene Expression Data