1 citations · 1 across the 7 of their papers we have counts for
9 papers
Prior-Informed Generalizable Low-Rank Representation Learning via Regularized Adversarial Reweighting
Keyao Zhan, Junwei Lu, Tianxi Cai
Modern learning problems increasingly leverage data from heterogeneous sources to improve robustness and generalizability under distribution shift, often with high-dimensional para…
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
Zebin Wang, Ziming Gan, Weijing Tang +4
Classical probabilistic graphical models face fundamental challenges in modern data environments, which are characterized by high dimensionality, source heterogeneity, and stringen…
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
Yinjie Wang, Doudou Zhou, Yue Liu +2
Electronic Health Records (EHRs), comprising diverse clinical data such as diagnoses, medications, and laboratory results, hold great promise for translational research. EHR-derive…
Latent Factor Point Processes for Patient Representation in Electronic Health Records
Parker Knight, Doudou Zhou, Zongqi Xia +2
Electronic health records (EHR) contain valuable longitudinal patient-level information, yet most statistical methods reduce the irregular timing of EHR codes into simple counts, t…
Time-Aware Attention for Enhanced Electronic Health Records Modeling
Junhan Yu, Zhunyi Feng, Junwei Lu +2
Electronic Health Records (EHR) contain valuable clinical information for predicting patient outcomes and guiding healthcare decisions. However, effectively modeling Electronic Hea…
The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control
Jiajun Liang, Yue Liu, Doudou Zhou +2
Graphical models find numerous applications in biology, chemistry, sociology, neuroscience, etc. While substantial progress has been made in graph estimation, it remains largely un…
Inference of Dependency Knowledge Graph for Electronic Health Records
Zhiwei Xu, Ziming Gan, Doudou Zhou +3
The effective analysis of high-dimensional Electronic Health Record (EHR) data, with substantial potential for healthcare research, presents notable methodological challenges. Empl…
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model
Junwei Lu, Jin Yin, Tianxi Cai
Due to the increasing adoption of electronic health records (EHR), large scale EHRs have become another rich data source for translational clinical research. Despite its potential,…
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Jun Wen, Jue Hou, Clara-Lea Bonzel +14
Electronic health record (EHR) data are increasingly used to support real-world evidence (RWE) studies. Yet its ability to generate reliable RWE is limited by the lack of readily a…