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Abstract Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in hospitalized patients, leveraging interpretable machine learning models to provide clinically actionable decision support for timely intervention

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These rogue electrons bind to oxygen to create highly reactive molecules known as reactive oxygen species (ROS) or free radicals

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