2 papers
cs.LG2025
A SHAP-based explainable multi-level stacking ensemble learning method for predicting the length of stay in acute stroke
Zhenran Xu
Length of stay (LOS) prediction in acute stroke is critical for improving care planning. Existing machine learning models have shown suboptimal predictive performance, limited gene…
cs.LG2024
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue, Denny Zhou, Nan Du +4
Capturing the inter-dependencies among multiple types of clinically-critical events is critical not only to accurate future event prediction, but also to better treatment planning.…