4 papers · 1 filter
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…
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…
Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach
Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1
Parkinson's Disease (PD) medication management presents unique challenges due to heterogeneous disease progression and treatment response. Neurologists must balance symptom control…
DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling
Deyi Li, Zijun Yao, Muxuan Liang +1
In recent years, graph learning has gained significant interest for modeling complex interactions among medical events in structured Electronic Health Record (EHR) data. However, e…