3 citations · 4 across the 4 of their papers we have counts for
6 papers
Transfer Learning for Meta-analysis Under Covariate Shift
Zilong Wang, Ali Abdeen, Turgay Ayer
Randomized controlled trials often do not represent the populations where decisions are made, and covariate shift across studies can invalidate standard IPD meta-analysis and trans…
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
Zilong Wang, Turgay Ayer, Shihao Yang
Estimating heterogeneous treatment effects is critical in domains such as personalized medicine, resource allocation, and policy evaluation. A central challenge lies in identifying…
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
Ruohan Wang, Zilong Wang, Ziyang Song +2
Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to understand diseases with unique subgroups and enhance personalized medicine for pat…
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Chen Liu, Ke Xu, Liangbo L. Shen +8
Advances in medical imaging technologies have enabled the collection of longitudinal images, which involve repeated scanning of the same patients over time, to monitor disease prog…
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
Zhaowei She, Zilong Wang, Jagpreet Chhatwal +1
The COVID-19 pandemic has exerted a profound impact on the global economy and continues to exact a significant toll on human lives. The COVID-19 case growth rate stands as a key ep…
Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests
Zhaowei She, Zilong Wang, Turgay Ayer +2
Rapid and accurate detection of community outbreaks is critical to address the threat of resurgent waves of COVID-19. A practical challenge in outbreak detection is balancing accur…