10 papers
ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling
Deyi Li, Qi Xu, Lingyao Li +3
Transformer-based models are widely used for clinical prediction from electronic health records (EHRs), yet their architectures still require substantial manual tuning, and the opt…
CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1
Effective medication management in Parkinson's Disease (PD) is challenging due to heterogeneous disease progression, variable patient response, and medication side effects. While A…
A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
Honglin Du, Muxuan Liang, Xiang Zhong
In complex multivariate systems, interactions among variables are defined by dependency structures, often encoded as directed acyclic graphs (). However, dependency st…
Classification-Powered Conformal Inference for Zero-inflated Outcomes
Zhirui Li, Ricardo Diaz-Rincon, Benjamin Shickel +3
Zero-inflated outcomes, where responses are zero with positive probability and otherwise continuous, are common in biomedical, environmental, and social science studies. We propose…
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
Muxuan Liang, Yang Ning, Maureen A Smith +1
Penalized empirical risk minimization with a surrogate loss function is often used to learn a high-dimensional linear decision rule in classification problems. Although much of the…
DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
Deyi Li, Zijun Yao, Qi Xu +4
The growing adoption of electronic health record (EHR) systems has provided unprecedented opportunities for predictive modeling to guide clinical decision making. Structured EHRs c…