Temporal

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

rui-li

• Dec 4, 2021 • 1 min read

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

prithwish-chakraborty

• May 17, 2021 • 1 min read

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

Mohamed Ghalwash

• Nov 18, 2020 • 1 min read

eXITs: An Ensemble Approach for Imputing Missing EHR Data

james-codella

• Jun 13, 2019 • 1 min read

Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity

bin-liu

• Jun 11, 2019 • 1 min read

Predicting Onset of Type 1 Diabetes Using a Novel Interaction Model

bin-liu

• Jun 11, 2019 • 1 min read

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

Mohamed Ghalwash

• Jun 11, 2019 • 1 min read

Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning

chao-han

• May 4, 2019 • 1 min read

Continuous Conditional Dependency Network for Structured Regression

chao-han

• Feb 9, 2017 • 1 min read

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

milos-radovic

• Jan 3, 2017 • 1 min read