6 papers · 1 filter
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…
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…
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…
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
Mingyuan Xu, Zongqi Xia, Tianxi Cai +2
We often collect data from multiple sites (e.g., hospitals) that share common structure but also exhibit heterogeneity. This paper aims to learn robust sequential decision-making p…
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…
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…