A process-aware pipeline using logistic regression on prefix representations from 4,479 COVID-19 cases predicts ICU admission with AUC 0.906, improving from 0.642 early to 0.942 later in pathways.
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Intermediate-depth ResNet backbones in RT-DETR maintain near-perfect accuracy for round objects under lighting or background shifts, with ResNet50 best for illumination changes and ResNet34 best for background changes.
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From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways
A process-aware pipeline using logistic regression on prefix representations from 4,479 COVID-19 cases predicts ICU admission with AUC 0.906, improving from 0.642 early to 0.942 later in pathways.
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Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
Intermediate-depth ResNet backbones in RT-DETR maintain near-perfect accuracy for round objects under lighting or background shifts, with ResNet50 best for illumination changes and ResNet34 best for background changes.