27 citations · 40 across the 10 of their papers we have counts for
3 papers · 1 filter
Phenotypical Ontology Driven Framework for Multi-Task Learning
Mohamed Ghalwash, Zijun Yao, Prithwish Chakraborty +2
Despite the large number of patients in Electronic Health Records (EHRs), the subset of usable data for modeling outcomes of specific phenotypes are often imbalanced and of modest…
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry +2
Increased availability of electronic health records (EHR) has enabled researchers to study various medical questions. Cohort selection for the hypothesis under investigation is one…
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Rui Li, Zach Shahn, Jun Li +5
Counterfactual prediction is a fundamental task in decision-making. G-computation is a method for estimating expected counterfactual outcomes under dynamic time-varying treatment s…