5 papers · 1 filter
Agentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency
Deyi Li, Qi Xu, Lingyao Li +3
Transformer architectures for clinical prediction from electronic health records (EHRs) often require costly manual tuning and may vary across hospitals and tasks. We introduce ATH…
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…
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…