Article

Federated Learning for ICU Mortality Prediction: Balancing Accuracy and Privacy in a Multi-Hospital Setting

2025-08-06

Abstract excerpt

Intensive care units (ICUs) manage critically ill patients whose clinical outcomes rely on timely and accurate decision-making. Predictive modeling using electronic health records (EHRs) has shown promise in forecasting adverse events such as in-hospital mortality. However, constructing robust and generalizable models typically requires large-scale, multi-institutional datasets. Privacy regulations such as HIPAA a...

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Literature Corpus work: 909dece8-71f4-5e31-afdf-7c06dafd023d
DOI: 10.1101/2025.08.04.668527

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