3 papers
stat.ML2026
Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
Feiqing Huang, Zongqi Xia, Rong Ma +1
We propose a spectral-based, unsupervised representation learning framework to derive low-dimensional embeddings for clinical concepts and patients in rare disease cohorts from ele…
stat.ML2026
ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data
Yuxi Cai, Lan Li, Feiqing Huang +1
The proliferation of large-scale and structurally complex data has spurred the integration of machine learning methods into statistical modeling. Recurrent neural networks (RNNs),…
stat.ML2024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Tianxi Cai, Feiqing Huang, Ryumei Nakada +2
Electronic health record (EHR) systems capture a wealth of multimodal clinical data, encompassing both structured clinical codes and unstructured clinical notes. Yet, many EHR-focu…