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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…