4 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
Linshanshan Wang, Mengyan Li, Zongqi Xia +2
Electronic Health Records (EHR) offer rich real-world data for personalized medicine, providing insights into disease progression, treatment responses, and patient outcomes. Howeve…
A Semiparametric Approach for Robust and Efficient Learning with Biobank Data
Molei Liu, Xinyi Wang, Chuan Hong
With the increasing availability of electronic health records (EHR) linked with biobank data for translational research, a critical step in realizing its potential is to accurately…
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Doudou Zhou, Molei Liu, Mengyan Li +1
Due to label scarcity and covariate shift happening frequently in real-world studies, transfer learning has become an essential technique to train models generalizable to some targ…
Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension
Molei Liu, Jiehuan Sun, Jose D. Herazo-Maya +2
Joint models for longitudinal biomarkers and time-to-event data are widely used in longitudinal studies. Many joint modeling approaches have been proposed to deal with different ty…