3 papers
stat.ME2026
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…
cs.LG2025
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…
stat.ME2025
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
Linshanshan Wang, Mengyan Li, Zongqi Xia +2
Electronic Health Records (EHR) offer rich real-world data for personalized medicine, providing insights into disease progression, treatment responses, and patient outcomes. Howeve…