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20232026
most citedInference of Dependency Knowledge Graph for Electronic Health Records

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

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7 papers · 1 filter

stat.ML2025

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…

stat.ML2025

A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research

Jessica Gronsbell, Vidul Ayakulangara Panickan, Doudou Zhou +11

Despite the growing availability of Electronic Health Record (EHR) data, researchers often face substantial barriers in effectively using these data for translational research due…

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…

cs.LG2025

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…

stat.ML2025

Generalized Linear Markov Decision Process

Sinian Zhang, Kaicheng Zhang, Ziping Xu +4

Offline reinforcement learning for longitudinal studies often faces two linked challenges: rewards may be binary or bounded, and reward observations may be available only for a sub…

cs.LG2025

Wasserstein Transfer Learning

Kaicheng Zhang, Sinian Zhang, Doudou Zhou +1

Transfer learning is a powerful paradigm for leveraging knowledge from source domains to enhance learning in a target domain. However, traditional transfer learning approaches ofte…

cs.AI2025

Representation learning to advance multi-institutional studies with electronic health record data from US and France

Doudou Zhou, Han Tong, Linshanshan Wang +21

The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…