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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis
Li et al [22] incorporated 10 simulated sites from a tertiary hospital in Singapore by implementing a scoring-based system (the Fed Score model) to facilitate cross-institutional collaborations to predict mortality within 30 days after ED visits. Similarly, FL models outperformed CML in predicting the mortality of hospitalized patients with COVID-19 and pulmonary thromboendarterectomy using a real-world dataset [26,27].
J Med Internet Res 2025;27:e65708
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For instance, Li et al’s [11] network analysis revealed that the leptin biomarker indicated low levels of energy metabolism in patients with cold syndrome, while the human monocyte chemoattractant protein-1 (CCL2/MCP1) biomarker suggested intensified immune regulation in patients with hot syndrome, based on a study involving patients with chronic superficial gastritis and chronic atrophic gastritis.
JMIR Med Inform 2025;13:e64725
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