activity
20232026
most citedInference of Dependency Knowledge Graph for Electronic Health Records

1 citations · 1 across the 14 of their papers we have counts for

collaborators
Showing stat.MEShow all

6 papers · 1 filter

stat.ME2026

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces

Yuming Zhang, Congyuan Duan, Dong Xia +2

Multi-institutional electronic health record (Multi-EHR) data have emerged as a powerful resource for developing predictive models to support clinical decisions and for generating…

stat.ME2026

Structured Transfer Learning for Survival Risk Stratification in Data-Sparse Clinical Cohorts

Junhan Yu, Yurui Chen, Juan Delgado-SanMartin +3

Background: Survival prediction models are often less reliable in clinical groups with limited sample sizes or few outcome events. Target-only models may be unstable, whereas model…

stat.ME2026

Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes

Mingyuan Xu, Zongqi Xia, Tianxi Cai +2

Learning a common policy from multiple source environments requires accounting for cross-source heterogeneity, and the offline setting introduces an additional challenge of limited…

stat.ME2025

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…

stat.ME2024

Domain Adaptation Targeting Heterogeneous and Imbalanced Subgroups

Doudou Zhou, Mengyan Li, Yun Wang +2

Domain adaptation enables generalizable and efficient data-driven research. However, existing work has largely focused on domain adaptation for some intrinsically homogeneous targe…

stat.ME2023★ 1 cited

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…