6 papers
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…
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…
Transfer Learning with Network Embeddings under Structured Missingness
Mengyan Li, Xiaoou Li, Kenneth D Mandl +1
Modern data-driven applications increasingly rely on large, heterogeneous datasets collected across multiple sites. Differences in data availability, feature representation, and un…
A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies
Kimberly F. Greco, Zongxin Yang, Mengyan Li +6
Rare diseases affect an estimated 300-400 million people worldwide, yet individual conditions remain underdiagnosed and poorly characterized due to their low prevalence and limited…
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
Hongyi Yuan, Suqi Liu, Kelly Cho +3
We introduce GENomic Encoding REpresentation with Language Model (GENEREL), a framework designed to bridge genetic and biomedical knowledge bases. What sets GENEREL apart is its ab…
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
Suqi Liu, Tianxi Cai, Xiaoou Li
A large-scale knowledge graph enhances reproducibility in biomedical data discovery by providing a standardized, integrated framework that ensures consistent interpretation across…