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A Simulation-Based Validation Framework for Uncertainty-Aware Clinical Triage: Conformal Prediction and Ensemble Learning Applied to a Synthetic ICU Benchmark Cohort

2026-06-02

Abstract excerpt

<h4>Background and Objectives</h4> Deploying machine learning for ICU triage requires simultaneously validated uncertainty quantification, demographic fairness, and interpretable attribution — three properties rarely assembled into a single pipeline. Controlled evaluation of such pipelines is difficult on real EHR data due to missing values, treatment confounding, and access restrictions. We develop and validate...

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Literature Corpus work
276eb8d7-f12d-5ed9-8e00-2e0b16dcdcf9
DOI
10.64898/2026.05.29.26354474
Open publication

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A Simulation-Based Validation Framework for Uncertainty-Aware Clinical Triage: Conformal Prediction and Ensemble Learning Applied to a Synthetic ICU Benchmark CohortDOI 10.64898/2026.05.29.26354474
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